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1
Renugadevi, Somu, T. V. Geetha, R. L. Gayathiri, S. Prathyusha, and T. Kaviya. "Collaborative search using an implicitly formed academic network." Aslib Journal of Information Management 66, no. 5 (September 9, 2014): 537–52. http://dx.doi.org/10.1108/ajim-12-2013-0142.
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Purpose – The purpose of this paper is to propose the Collaborative Search System that attempts to achieve collaboration by implicitly identifying and reflecting search behaviour of collaborators in an academic network that is automatically and dynamically formed. By using the constructed Collaborative Hit Matrix (CHM), results are obtained that are based on the search behaviour and earned preferences of specialist communities of researchers, which are relevant to the user's need and reduce the time spent on bad links. Design/methodology/approach – By using the Digital Bibliography Library Project (DBLP), the research communities are formed implicitly and dynamically based on the users’ research presence in the search environment and in the publication scenario, which is also used to assign users’ roles and establish links between the users. The CHM, to store the hit count and hit list of page results for queries, is also constructed and updated after every search session to enhance the collaborative search among the researchers. Findings – The implicit researchers community formation, the assignment and dynamic updating of roles of the researchers based on research, search presence and search behaviour on the web as well as the usage of these roles during Collaborative Web Search have highly improved the relevancy of results. The CHM that holds the collaborative responses provided by the researchers on the search query results to support searching distinguishes this system from others. Thus the proposed system considerably improves the relevancy and reduces the time spent on bad links, thus improving recall and precision. Originality/value – The research findings illustrate the better performance of the system, by connecting researchers working in the same field and allowing them to help each other in a web search environment.
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Houser, P., D. Matthews, and M. Brilly. "WaterNet: the NASA Water Cycle Solutions Network." Advances in Science and Research 1, no. 1 (December 6, 2007): 23–26. http://dx.doi.org/10.5194/asr-1-23-2007.
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Abstract. This paper provides an over view of a new international network of researchers, stakeholders, and end-users of remote sensing tools that will benefit the water resources management community. It discusses the concept of solutions networks focusing on the WaterNet and it invites EGU teams to join the in the initial stages of our WaterNet network. The NASA Water cycle Solutions Network's goal is to improve and optimize the sustained ability of water cycle researchers, stakeholders, organizations and networks to interact, identify, harness, and extend NASA research results to augment decision support tools and meet national and international needs. This paper seeks to invite EU scientific teams and water resource management teams to join our WaterNet Solutions Network.
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De Salve, Andrea, Paolo Mori, Barbara Guidi, Laura Ricci, and Roberto Di Pietro. "Predicting Influential Users in Online Social Network Groups." ACM Transactions on Knowledge Discovery from Data 15, no. 3 (April 12, 2021): 1–50. http://dx.doi.org/10.1145/3441447.
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The widespread adoption of Online Social Networks (OSNs), the ever-increasing amount of information produced by their users, and the corresponding capacity to influence markets, politics, and society, have led both industrial and academic researchers to focus on how such systems could be influenced . While previous work has mainly focused on measuring current influential users, contents, or pages on the overall OSNs, the problem of predicting influencers in OSNs has remained relatively unexplored from a research perspective. Indeed, one of the main characteristics of OSNs is the ability of users to create different groups types, as well as to join groups defined by other users, in order to share information and opinions. In this article, we formulate the Influencers Prediction problem in the context of groups created in OSNs, and we define a general framework and an effective methodology to predict which users will be able to influence the behavior of the other ones in a future time period, based on historical interactions that occurred within the group. Our contribution, while rooted in solid rationale and established analytical tools, is also supported by an extensive experimental campaign. We investigate the accuracy of the predictions collecting data concerning the interactions among about 800,000 users from 18 Facebook groups belonging to different categories (i.e., News, Education, Sport, Entertainment, and Work). The achieved results show the quality and viability of our approach. For instance, we are able to predict, on average, for each group, around a third of what an ex-post analysis will show being the 10 most influential members of that group. While our contribution is interesting on its own and—to the best of our knowledge—unique, it is worth noticing that it also paves the way for further research in this field.
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Feliciano, Josemari, Liz Salmi, Charlie Blotner, Adam Hayden, Edjah Nduom, Bethany Kwan, Matthew Katz, and Elizabeth Claus. "EPID-30. A TWITTER-BASED NETWORK ANALYSIS OF BRAIN TUMOR SOCIAL MEDIA (#BTSM)." Neuro-Oncology 21, Supplement_6 (November 2019): vi81. http://dx.doi.org/10.1093/neuonc/noz175.330.
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Abstract BACKGROUND The Brain Tumor Social Media (#BTSM) Twitter hashtag was founded in February 2012 as a disease-specific hashtag for brain tumor patients. To understand #BTSM’s role as a patient support system we describe user descriptors, growth, interaction, and content sharing. METHODS We analyzed all tweets containing #BTSM from 2012 to 2018 using the Symplur Signals platform to obtain data and to describe Symplur-defined user categories, tweet content, and trends in use over time. We created a network plot with all publicly-available retweets involving #BTSM in 2018 to visualize key stakeholders and their connections to other users. RESULTS From 2012 to 2018, 59764 unique users participated in #BTSM, amassing 298904 tweets. The yearly volume of #BTSM tweets increased by 264% from 2012 to 2018 with #BTSM constantly trending in the top 15 list of disease hashtags, as well the top 15 list of tweet chats. Patient advocates generated the most #BTSM tweets (33.0%) while advocacy groups, researchers, caregivers and doctors, generated 28.8%, 7.0%, 4.6% and 3.9%, respectively. Physician use, although still low, has increased over time. The 2018 network plot of retweets including #BTSM identifies a number of key stakeholders from the patient advocate, patient organization, and medical researcher domains and reveals the extent of their reach to other users. CONCLUSIONS From its start in 2012, #BTSM has grown exponentially over time. We believe its growth suggests its potential as a global source of brain tumor information for patients, advocates, patient organizations as well as healthcare professionals and researchers.
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Dutta, Nitul, and Iti Saha Misra. "Fluid Flow and Random Walk Mobility Model for Wireless Mobile Network Research: A Review." Advanced Materials Research 403-408 (November 2011): 4486–94. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4486.
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In performance evaluation of mobility management protocols for Wireless Mobile Networks (WMN) estimating cell change rate of mobile users is very important. Based on the rate of cell change (also called handoff rate) other parameters such as location update cost, handoff latency etc. may be calculated. Moreover, any new mobility management protocol must be examined either mathematically or through simulation before its use in real network. Since the cell change rate is dependent on movement pattern of users; that is why modeling of user movement in order to evaluate the performance of protocols and architectures for WMN plays a vital role. The aim of this paper is to discuss Fluid Flow and Random Walk mobility and different method to estimate cell changing rate using these two models. Our intention is to support researchers with options to choose a suitable model when their protocol or architecture needs to be studied under various mobility patterns.
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Kammerer, Klaus, Manuel Göster, Manfred Reichert, and Rüdiger Pryss. "Ambalytics: A Scalable and Distributed System Architecture Concept for Bibliometric Network Analyses." Future Internet 13, no. 8 (August 4, 2021): 203. http://dx.doi.org/10.3390/fi13080203.
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A deep understanding about a field of research is valuable for academic researchers. In addition to technical knowledge, this includes knowledge about subareas, open research questions, and social communities (networks) of individuals and organizations within a given field. With bibliometric analyses, researchers can acquire quantitatively valuable knowledge about a research area by using bibliographic information on academic publications provided by bibliographic data providers. Bibliometric analyses include the calculation of bibliometric networks to describe affiliations or similarities of bibliometric entities (e.g., authors) and group them into clusters representing subareas or communities. Calculating and visualizing bibliometric networks is a nontrivial and time-consuming data science task that requires highly skilled individuals. In addition to domain knowledge, researchers must often provide statistical knowledge and programming skills or use software tools having limited functionality and usability. In this paper, we present the ambalytics bibliometric platform, which reduces the complexity of bibliometric network analysis and the visualization of results. It accompanies users through the process of bibliometric analysis and eliminates the need for individuals to have programming skills and statistical knowledge, while preserving advanced functionality, such as algorithm parameterization, for experts. As a proof-of-concept, and as an example of bibliometric analyses outcomes, the calculation of research fronts networks based on a hybrid similarity approach is shown. Being designed to scale, ambalytics makes use of distributed systems concepts and technologies. It is based on the microservice architecture concept and uses the Kubernetes framework for orchestration. This paper presents the initial building block of a comprehensive bibliometric analysis platform called ambalytics, which aims at a high usability for users as well as scalability.
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Xu, Bing, Zhijun Ding, and Hongzhong Chen. "Recommending Locations Based on Users’ Periodic Behaviors." Mobile Information Systems 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/7871502.
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The research of location recommendation system is an important topic in the field of LBSN (Location-Based Social Network). Recently, more and more researchers began focusing on researching how to recommend locations based on user’s life behavior. In this paper, we proposed a new model recommending locations based on user’s periodic behaviors. In view of multiple periodic behaviors existing in time series, an algorithm which can mine all periods in time series is proposed in this paper. Based on the periodic behaviors, we recommend locations using item-based collaborative filtering algorithm. In this paper, we will also introduce our recommendation system which can collect users’ GPS trajectory, mine user’s multiple periods, and recommend locations based user’s periodic behavior.
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Pilař, Ladislav, Lucie Kvasničková Stanislavská, Roman Kvasnička, Richard Hartman, and Ivana Tichá. "Healthy Food on Instagram Social Network: Vegan, Homemade and Clean Eating." Nutrients 13, no. 6 (June 9, 2021): 1991. http://dx.doi.org/10.3390/nu13061991.
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Social media platforms have become part of many people’s lives. Users are spending more and more time on these platforms, creating an active and passive digital footprint through their interaction. This footprint has high research potential in many research areas because understanding people’s communication on social media is essential in understanding their values, attitudes, experiences and behaviors. Researchers found that the use of social networking sites impacts adolescents’ eating behavior. If we define adolescents as individuals between ages 10 and 24 (WHO’s definition), 76% of USA young people at age 18–24 use Instagram, so the Instagram social network analysis is important for understanding young people’s expressions in the context of healthy food. This study aims to identify the main topic associated with healthy food on the Instagram social network via hashtag and community analysis based on 2,045,653 messages created by 427,936 individual users. The results show that users most associate Healthy food with healthy lifestyle, fitness, weight loss and diet. In terms of food, these are foods that are Vegan, Homemade, Clean and Plant-based. Given that young people change their behavior in relation to people’s behavior on social networks, it is possible to use this data to predict their future association with healthy food characteristics.
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Gao, Jian Chao, Hai Bao Guo, Li Na Hao, and Yun Gong Li. "Design of Vibrating Signal Acquisition and Processing System Based on Wireless Transducer Network." Advanced Engineering Forum 2-3 (December 2011): 441–46. http://dx.doi.org/10.4028/www.scientific.net/aef.2-3.441.
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This research aims at the problem in the vibration signal monitoring area that few of systems based on wireless sensing technology are developed to deal with the problem of vibration specially. The paper presents a system based on wireless acceleration transducer network, which integrated the function of vibrating signal acquisition and processing. The system is tested in vibration bench. The operation of the system is simple and intuitive. Researchers could achieve the operation of collecting and analyzing signal, setting the parameter of the sensor nodes and monitoring the state of the network. The presented system provides users friendly interface to make it easy to do some researches about vibration signal acquisition, processing and analysis. Additionally, the system provides some program interfaces, with which users can easily do secondary development work and perfect the system.
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Tong, Jingrong, and Landong Zuo. "Dialoguing with Data and Data Reduction: An Observational, Narrowing-Down Approach to Social Media Network Analysis." Journalism and Media 2, no. 1 (January 28, 2021): 14–29. http://dx.doi.org/10.3390/journalmedia2010002.
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In this article, we propose an observational, narrowing-down approach to analysing social media networks and developing research design by the joint use of computational algorithms and researchers’ inductive exploration and interpretive explanations. The Brexit referendum on Twitter study is used to illustrate how we applied this approach in practice. In this study, observation helped us combine the strengths of computational statistical analysis and modelling and of inductive inquiries. Computational algorithms and tools including Elasticsearch, Kibana and Gephi provided us with an “ethnographic field” where we were able to inductively observe the relationships among users and to reduce the amount of data down to a level in which we could intuitively understand these relationships. In traditional observational studies, talking to human subjects and observing their interactions in a research site are important to ethnographers. Likewise, it is useful for social science researchers to dialogue with data, observe human relationships embodied in the data and reconstructed by computational tools, and understand these relationships through closely examining a small batch of meaningful data that is extracted from large-scale data. In this case study, adopting the proposed approach, we found the importance of political disagreement leading to a tale of two politicians, in which pro-Brexit users denounced @David_Cameron but legitimised @Nigel_Farage.
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Ho, Hillbun, and Kenichi Ito. "Consumption-oriented engagement in social network sites." European Journal of Marketing 53, no. 7 (July 8, 2019): 1355–77. http://dx.doi.org/10.1108/ejm-11-2017-0809.
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Purpose Mounting empirical evidence shows that engagement in social network sites (SNSs) could have a negative impact on users’ personal well-being. However, studies of the undesirable effects of SNS use have not examined SNSs as a channel for users to share consumption information and experiences. To extend prior research, this study aims to examine the impact of consumption-oriented engagement (COE) in SNSs on young adult consumers’ personal well-being in terms of anxiety and self-esteem, as well as excessive spending. Design/methodology/approach Surveys were the primary means of data collection from a sample of young college students (N = 900). Moderated hierarchical regression was used to test the hypotheses. Findings COE is positively associated with anxiety and excessive spending and negatively associated with self-esteem. Social comparison mediates these relationships, and individuals’ materialistic values moderate the mediation. Research limitations/implications This study demonstrates the psychological and behavioral outcomes of consumer socialization via digital media among young adult consumers. It introduces and empirically validates social comparison as a theoretical explanation for the effects of COE. In addition, it validates materialistic values as a personal trait that moderates the effects of COE. Practical implications The study validates COE as a key precursor to the well-being of young adult users of SNSs and social comparison as the mediator. With this understanding, public policies can be designed to mitigate the root cause of the negative impact of SNS use. Originality/value Findings shed light on the negative repercussions of engagement in SNSs in the consumption domain and provide an impetus for educators, researchers and policymakers to make further efforts to gain a thorough understanding of the pitfalls of social media use.
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Pilař, Ladislav, Lucie Kvasničková Stanislavská, and Roman Kvasnička. "Healthy Food on the Twitter Social Network: Vegan, Homemade, and Organic Food." International Journal of Environmental Research and Public Health 18, no. 7 (April 6, 2021): 3815. http://dx.doi.org/10.3390/ijerph18073815.
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Online social networks have become an everyday aspect of many people’s lives. Users spend more and more time on these platforms and, through their interactions on social media platforms, they create active and passive digital footprints. These data have a strong potential in many research areas; indeed, understanding people’s communication on social media is essential for understanding their attitudes, experiences, behaviors and values. Researchers have found that the use of social networking sites impacts eating behavior; thus, analyzing social network data is important for understanding the meaning behind expressions used in the context of healthy food. This study performed a communication analysis of data from the social network Twitter, which included 666,178 messages posted by 168,134 individual users. These data comprised all tweets that used the #healthyfood hashtag between 2019 and 2020 on Twitter. The results revealed that users most commonly associate healthy food with a healthy lifestyle, diet, and fitness. Foods associated with this hashtag were vegan, homemade, and organic. Given that people change their behavior according to other people’s behavior on social networks, these data could be used to identify current and future associations with current and future perceptions of healthy food characteristics.
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Huh, Jun-Ho. "Reliable User Datagram Protocol as a Solution to Latencies in Network Games." Electronics 7, no. 11 (November 2, 2018): 295. http://dx.doi.org/10.3390/electronics7110295.
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One of the major problems in network games has been that of latency (lagging) that game technology researchers are still tackling. Latency largely affects user satisfaction and it is often caused by insufficient hardware capacity or the internet speed that the user is employing. Even though online games are becoming more complex and the number of participants in these games is increasing continuously, users cannot properly deal with the requirements to play these games, as system upgrades and subscription changes to a higher speed internet service are costly. Instead of passing such a burden on to the users, the game companies should instead invest in providing an improved communication algorithm. Thus, the reliable user datagram protocol (RUDP)-based communication system design has been considered in this research instead of transmission control protocol (TCP) or user datagram protocol (UDP)-based systems. This could be a viable alternative system model. Many researchers agree that RUDP is a better protocol for the transport layer, but it seems that the large-scale testbeds that could support such an idea and carry out direct tests are very scarce, meaning that actual experimental implementation is difficult to achieve. This suggests that game designers or researchers need to rely on a small-scale testbed to collect performance data. Moreover, generating an analytic model from a small-scale testbed may not be viable due to the large number of elements involved in the implementation process, including latency. This study introduces an RUDP-based communication model created and tested by using the OPNET simulation tool. They are novel energy and cost-effective photonics technologies for access/metro networks.
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Sedoyeka, Eliamani, and Ziad Hunaiti. "WiMAX Networks." International Journal of Handheld Computing Research 3, no. 4 (October 2012): 72–86. http://dx.doi.org/10.4018/jhcr.2012100105.
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Every new technology comes with its challenges and lessons to be learnt. With a number of unknowns, deploying a new technology becomes a challenge. Worldwide Interoperability for Microwave Access (WiMAX) is one of these new technologies currently on the rise. This paper presents the finding of the research conducted to investigate technical and non technical aspects of network operators in Tanzania. The research looked into WiMAX network operational challenges faced by the network owners as well as the level of services experienced by the end users. This paper is suitable researchers, network operators and investors interested in WiMAX technology. It is mostly usefully for those looking into solutions to problem facing rural and remote areas of the world. The research is discussed in detail throughout of the article.
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Pilař, Ladislav, Lucie Kvasničková Stanislavská, Roman Kvasnička, Petr Bouda, and Jana Pitrová. "Framework for Social Media Analysis Based on Hashtag Research." Applied Sciences 11, no. 8 (April 20, 2021): 3697. http://dx.doi.org/10.3390/app11083697.
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Social networks have become a common part of many people’s daily lives. Users spend more and more time on these platforms and create an active and passive digital footprint through their interaction with other subjects. These data have high research potential in many fields, because understanding people’s communication on social media is essential to understanding their attitudes, experiences and behaviours. Social media analysis is a relatively new subject. There is still a need to develop methods and tools for researchers to help solve typical problems associated with this area. A researcher will be able to focus on the subject of research entirely. This article describes the Social Media Analysis based on Hashtag Research (SMAHR) framework, which uses social network analysis methods to explore social media communication through a network of hashtags. The results show that social media analysis based on hashtags provides information applicable to theoretical research and practical strategic marketing and management applications.
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Taulois Campos, Tereza Raquel, Marcus Vinicius de Araujo Fonseca, Bruna de Paula Fonseca e. Fonseca, and Edison de Oliveira Martins F. "A Strategic View for Rare Earths Production, in a Competitive and Sustainable form." Environment and Natural Resources Research 6, no. 4 (November 30, 2016): 140. http://dx.doi.org/10.5539/enrr.v6n4p140.
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The demand for rare earths (RE) has been intensified by their large use, especially in high technology sectors. Supply difficulties have forced RE users to seek alternative sources and invest in the development of recycling technologies and options of reuse for these elements. This article seeks to reveal the trends and ongoing changes in national and global prospects of RE. Additionally, it aims to analyze scientific collaboration networks in the area of industrial solid waste (ISW) and waste electrical and electronic equipment (WEEE) exploitation in Brazil, examining both researchers and institutions with greater representation in the field. For this purpose, social network analysis methods were used to build and analyze co-authorship networks based on scientific publications retrieved from the Web of Science (WoS) database. The results showed that the Brazilian collaboration network of ISW research was extremely fragmented and contained 105 different groups, which were not connected to each other. The institutional network of ISW research was composed of 125 institutions, 75.2% of them from Brazil. The Brazilian collaboration network of research in WEEE was small (37 researchers), but fragmented: researchers were divided into eight different groups that do not connect to each other. The institutional network of research in WEEE was composed by 12 institutions, nine of them from Brazil. Therefore, this article presents a network collaboration model to bring together actors involved in the management of waste electrical and electronic equipment (WEEE), emphasizing the potential for recovery of RE from these wastes, with the purpose of developing products and services.
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Lecuona, Oscar, Carlos García-Rubio, Sara de Rivas, Jennifer E. Moreno-Jiménez, Rosa Marta Meda-Lara, and Raquel Rodríguez-Carvajal. "A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)." Mindfulness 12, no. 9 (July 27, 2021): 2281–94. http://dx.doi.org/10.1007/s12671-021-01704-7.
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Abstract Objectives The Five Facet Mindfulness Questionnaire (FFMQ) is a popular self-report instrument for mindfulness assessment. However, several studies report mixed evidence regarding its reliability and validity. While recent replication studies have shown several issues regarding its latent structure, first-order facets seemed to replicate successfully. This study proposes an exploratory approach to these facets on an item level in one sample, with cross-validation in another sample. Methods Using a snowball sampling, 1008 participants were recruited in the first sample. Psychometric networks were applied to explore relations between items and item clusters. We compared these exploratory latent variable proposals with previous literature. A second sample of 1210 participants was collected from an FFMQ validation study, and confirmatory factor analyses were applied to cross-validate findings on the first sample. Results The FFMQ showed a positively correlated network. Exploratory analyses suggested the 5-facet structure as stable with alternatives of 4-facet (merging Observe and Non-Judging) and 6-facet (splitting Acting with Awareness in two) solutions. However, the CFAs in the second sample did not provide clear support to any solution. Conclusions The FFMQ showed unclear evidence on its latent structure. We propose researchers and users of the FFMQ to use the most fitting solution between the 5 and 6-facet solutions in their data, since the 4-facet solution is difficult to interpret. We also propose cautionary notes and guidelines for researchers and applied users of the FFMQ and regarding this instrument. We conclude that more research is needed in mindfulness assessment to provide robust measurements.
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Ono, Keiichiro, Barry Demchak, and Trey Ideker. "Cytoscape tools for the web age: D3.js and Cytoscape.js exporters." F1000Research 3 (October 28, 2014): 143. http://dx.doi.org/10.12688/f1000research.4510.2.
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In this paper we present new data export modules for Cytoscape 3 that can generate network files for Cytoscape.js and D3.js. Cytoscape.js exporter is implemented as a core feature of Cytoscape 3, and D3.js exporter is available as a Cytoscape 3 app. These modules enable users to seamlessly export network and table data sets generated in Cytoscape to popular JavaScript library readable formats. In addition, we implemented template web applications for browser-based interactive network visualization that can be used as basis for complex data visualization applications for bioinformatics research. Example web applications created with these tools demonstrate how Cytoscape works in modern data visualization workflows built with traditional desktop tools and emerging web-based technologies. This interactivity enables researchers more flexibility than with static images, thereby greatly improving the quality of insights researchers can gain from them.
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Shoshi, Alban, Venus Ogultarhan, Tobias Hoppe, Benjamin Kormeier, Ulrich Müller, and Ralf Hofestädt. "Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping." Journal of Bioinformatics and Computational Biology 13, no. 01 (February 2015): 1540007. http://dx.doi.org/10.1142/s0219720015400077.
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Drugs are essential for the prevention and treatment of diseases. However, co-administration of multiple drugs may cause serious adverse drug reactions, which are usually known but sometimes unknown. Package inserts of prescription drugs are supposed to contain risks and side effects, but such information is not necessarily complete. At the core of efforts to improve prescription quality, there is reliance on the extent and quality of information used for decision of a medical doctor. To address this on-going need, GraphSAW provides users a comprehensive view on drug-related pharmacological and molecular information. The features of GraphSAW allow users to analyze drug cocktails for adverse drug reactions and drug-induced diseases. Network visualization by drug mapping enables exploring associative networks of drugs, pathways, and diseases to fully understand effects of drugs in an intuitive way. GraphSAW is meant to be a platform and starting point for health professionals and researchers for educational and scientific research in order to achieve substantial improvements in patient safety.
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Din, Noorriati, and Shireen Haron. "Information Retrieval, Self Directed Learning and Academic Performance among Facebook Users." Journal of ASIAN Behavioural Studies 3, no. 7 (March 16, 2018): 49. http://dx.doi.org/10.21834/jabs.v3i7.257.
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Online social networking refers to social network sites such as Facebook, Twitter, LinkedIn, Meetup, Tribe and MySpace. Since the inception, the number of online social networking is being created rapidly with many sophisticated features being developed ever since. The Facebook has gained much popularity among the public mainly for interactions as well as for exchanging information. This study intends to investigate the information retrieval that occurs in the Facebook platform and if the process of retrieving information on the Facebook support academic performance. Fifty-nine self-directed adult learners participated in this research.
Keywords: Information retrieval; academic performance; self-directed learning; Facebook
eISSN 2514-7528 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
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Liu, Liping, and Chih-Cheng Fang. "Accelerating the Social Media Process: The Impact of Internet Celebrity Word-of-Mouth Communication and Relationship Quality on Consumer Information Sharing." International Journal of Human Resource Studies 10, no. 1 (January 17, 2020): 201. http://dx.doi.org/10.5296/ijhrs.v10i1.16043.
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With the rapid development of "Internet plus", the number of Internet users in China has increased rapidly, and the number of active users of social media software ranks first in the world. Large Numbers of network users are also potential consumer groups. Social media influences other consumers through consumer interaction and social interaction, and consumers are transformed into active information acquisition rather than passive information reception. Word of mouth marketing on social media has become one of the hottest research fields. Based on the information adoption model, this study explores the impact of internet celebrity word-of-mouth communication on consumer information sharing from four dimensions: internet celebrity word-of-mouth communication, relationship quality, face consciousness, and consumer information sharing and establishes a research model to provide references and suggestions for subsequent researchers and enterprise management.
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Praptodiyono, Supriyanto, Teguh Firmansyah, Mudrik Alaydrus, M. Iman Santoso, Azlan Osman, and Rosni Abdullah. "Mobile IPv6 Vertical Handover Specifications, Threats, and Mitigation Methods: A Survey." Security and Communication Networks 2020 (August 4, 2020): 1–18. http://dx.doi.org/10.1155/2020/5429630.
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Internet users have grown substantially over the last decade, especially following the emergence of mobile technology. Most Internet connections nowadays are accessed using mobile devices in order to stay connected all the time and everywhere. Owing to the limited coverage of such access points as well as base stations, mobile devices are required to handover connectivity if there is a move to other locations. Horizontal handover is conducted when the movement is within the same network. Otherwise, there must be vertical handover when external network infrastructure is encountered. However, as the Internet is an open network that naturally lacks trust between users, the mobile nodes that move to an external network are susceptible to various attacking activities. Compromising mobile nodes may cause users to lose their data as well as destroy their mobile devices in terms of both software and hardware. Securing mobile devices is crucial in order to avoid losses in terms of not only money but also facilities. Although mobile nodes have been developed with certain security features, some researchers have found vulnerabilities. This paper surveys in detail the security vulnerabilities of mobile IPv6 vertical handover and the current relevant mitigation methods. Furthermore, we describe the mechanism of mobile IPv6 vertical handover and its security vulnerability as well as security mechanisms proposed by researchers. Based on the survey, there are apparently weaknesses in current security features that are in need of solutions to minimize the effect of malicious activities. An open direction of future research on mobile IPv6 vertical handover security is elaborated at the end of this paper.
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Wieszaczewska, Agnieszka. "The Actor-Network Theory in the Context of Place-Based Pedagogy." Journal of Education Culture and Society 9, no. 2 (September 5, 2018): 167–78. http://dx.doi.org/10.15503/jecs20182.167.178.
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Space (and place) is a topic that is often the focus of researchers representing social and humanistic fields. Analyses of the significance of places to individuals and groups are carried out also on the basis of pedagogy. The subdiscipline which particularly emphasises the role of place is ‘place-based pedagogy’, and, on the Polish ground, so-called ‘pedagogika miejsca’. Therefore, pedagogues are interested in ways of giving meanings to places by their users, connections of the arrangement of space with its reception by individuals, space valorising and so on. In this article, the author presents the theoretical perspective of post-constructivism and the actor-network theory proposed by B. Latour and then developed and modified by other researchers, which is one of the most well-known (and recognised) strategies of a post-constructive reflection on reality. It can successfully become an approach in which pedagogical research related to the spaces in which people operate would be carried out, which would be a valuable complement to pedagogical considerations on place that has been known to date as of the phenomenological perspective.
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R V, Belfin, and Grace Mary Kanaga E. "Parallel seed selection method for overlapping community detection in social network." Scalable Computing: Practice and Experience 19, no. 4 (December 29, 2018): 375–85. http://dx.doi.org/10.12694/scpe.v19i4.1429.
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Social network analysis is one of the key areas of research during modern times. The social network is growing with more users and the ties between them day by day. This reason brings out many research queries and new conclusions from this area. Overlapping community detection in the social network is one such research problem which has acquired interest among researchers nowadays. Earlier, the investigation was in finding out algorithms to detect communities in the network sequentially. There are many distinguished findings toward overlapping community detection. Due to the velocity of data in the current era, the available algorithms will be a bit sluggish in processing the data. The proposed algorithm uses parallel processing engine to resolve this delay problem in the current scenario. The algorithm in parallel finds out the superior seed set in the network and expands it in parallel to find out the community. The work shows amazing improvement in the runtime and also detects quality groups in the network.
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Bouraga, Sarah, Ivan Jureta, and Stéphane Faulkner. "Towards Data Portability between Online Social Networks, a Conceptual Model of the Portable User Profile." International Journal of Virtual Communities and Social Networking 8, no. 3 (July 2016): 37–54. http://dx.doi.org/10.4018/ijvcsn.2016070104.
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The last decade has seen an increasing number of Online Social Network (OSN) users. As they grew more and more popular over the years, OSNs become also more and more profitable. Indeed, users share a considerable amount of personal information on these sites, both intentionally and unintentionally. And thanks to this enormous user base, social networks are able to generate recommendations; attract numerous advertisers; and sell the data to companies. This situation has sparked a lot of interest in the research community. Researchers have studied, among other topics, the issues of trust and privacy. Indeed, users grow more uncomfortable with the idea that they do not have full control over their own data. This paper addresses the notion of portable profile. The authors will discuss the advantages and drawbacks of a portable profile, from the perspective of the user and of the online social network. Secondly, the authors will propose a conceptual model for the data in this unified profile.
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Januar Ali, Denny, and Eriyanto Eriyanto. "Political Polarization and Selective Exposure of Social Media Users in Indonesia." Jurnal Ilmu Sosial dan Ilmu Politik 24, no. 3 (June 4, 2021): 268. http://dx.doi.org/10.22146/jsp.58199.
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This study is intended to answer the question of how political polarization is related to social media users’ posts about Covid-19. The researchers chose health cases related to Covid-19 instead of political issues (e.g. elections) to prove that this political polarization has spread to many areas. The research also wants to see the relationship between this political polarization and selective exposure. Theories applied in this study are polarization, filter bubble, and selective exposure. The study applied two methods: social media network analysis and content analysis. The network analysis included 82,156 posts, while the content analysis was carried out on 4,050 social media accounts. The research outcome proves the occurrence of political polarization. Social media users were divided into two major groups, namely pro-Jokowi and anti-Jokowi. Each group interacted with fellow users who had the same political choices and shared the same message content. Users with certain political choices tend to receive the same information as their political choices, and ignore information from other political parties. Another interesting finding from this study is how this polarization was sharpened by the use of hashtags. Each party (supporters and oppositions of Jokowi) uses hashtags to create solidarity and mobilization from each supporter. Research also proves the validity of the selective exposure and filter bubble hypothesis in the Indonesian context.
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Arora, Anshu Saxena, and Mahesh S. Raisinghani. "Redefining Web Users' Optimal Flow Experiences in Online Environments." International Journal of Web-Based Learning and Teaching Technologies 4, no. 3 (July 2009): 1–21. http://dx.doi.org/10.4018/jwbltt.2009090801.
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The article highlights a research study on consumer navigation behavior through the Web users’ optimal Flow experiences in the online environments. The research study establishes the empirical groundwork for measuring Web users’ Flow experiences in the Web environment. The article proposes a comprehensive definition of Flow on the basis of Comprehensive Process (Flow) Model of Network Navigation, considering that the Flow concept is a multidimensional concept in the “multi-activity” medium of the Web. Flow has been defined as a multi-dimensional and context-specific concept. Furthermore, the research article proposes that there are 10 Flow constructs (also called “the antecedents of Flow”) along with the three states of Flow, namely, Perfect Flow, Imperfect-Intensive Flow, and Imperfect Flow. Consumer Behavior on the Web is studied using the Flow concept for three categories of Flow users, namely, Perfect and Imperfect-Intensive Flow (PIIF) users, Imperfect Flow (IF) users, and Non-Flow (NF) users. These users achieve Flow depending on 10 Flow-constructs and three Flow states. Empirical results suggest a direct relationship between the Flow states and the Flow user categories and between expected Web user in the future (EXPUSE) and the Flow user categories. This research study provides a basis for future researchers to study consumer navigation behavior on the Web using the Flow concept for three categories of Flow users through 10 Flow constructs and three Flow states. The research has significant implications for theory and practice.
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Ponelis, Shana Rachel, and Philliam Adoma. "Diffusion of open source integrated library systems in academic libraries in Africa." Library Management 39, no. 6-7 (August 13, 2018): 430–48. http://dx.doi.org/10.1108/lm-05-2017-0052.
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Purpose Libraries globally automate their operations and services using integrated library systems (ILS) to increase operational efficiency and meet the ever-evolving demands of their users. Open source ILS (OS ILS) has become more popular globally. The purpose of this paper is to better understand the diffusion of OS ILS in academic libraries in Uganda. Design/methodology/approach Rogers’ diffusion of innovation (DoI) supplemented by the fit-viability theory was used as a theoretical framework. A questionnaire was developed based on extant literature and distributed electronically to representative members of a Ugandan university library association. Findings The diffusion of OS ILS in Ugandan academic libraries approximates the S-curve expected based on DoI. Ugandan academic libraries are adopting OS ILS for more flexibility to meet changing needs at what is perceived as an affordable cost but not all are fully satisfied. Koha is the most adopted OS ILS and is also being considered by all libraries without any ILS or a proprietary ILS. The information and communication technology (ICT) infrastructure, organizational procurement policies and national procurement legislation, human resource capacity and limited finances are barriers to diffusion. The total cost of ownership and technical skills required are of particular concern for OS ILS. Research limitations/implications The research was limited to a single African country and the recommendations may not be transferable to other African countries. Future research can expand the survey, the countries studied and/or address the methodological limitations of this study. Practical implications When embarking upon library automation using OS ILS or migrating to an OS ILS solution libraries should consider their ICT infrastructure, local support community, available training and be realistic about the costs. Local library associations should provide guidance on OS ILS selection, ongoing training, and opportunities for knowledge sharing. LIS schools should consider expanding their curriculum to include library automation and, in Uganda incorporate training on Koha as OS ILS. Libraries and library associations should advocate to reduce restrictive organizational procurement policies and national procurement legislation. Originality/value Studies on country-level diffusion of ILS are comparatively few, particularly in African countries. This is the first country-level study of OS ILS diffusion in Uganda. This study can positively impact future patterns of diffusion for optimal deployment of OS ILS software by informing academic libraries, university management, library association, LIS schools, and policymakers in Uganda and across the African continent, and encouraging academics and researchers to teach and study library automation using OS ILS.
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Zhang, Zhen, Jin Du, Qingchun Meng, Xiaoxia Rong, and Xiaodan Fan. "The Spread of Information in Virtual Communities." Complexity 2020 (November 26, 2020): 1–15. http://dx.doi.org/10.1155/2020/6629318.
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With the growth of online commerce, companies have created virtual communities (VCs) where users can create posts and reply to posts about the company’s products. VCs can be represented as networks, with users as nodes and relationships between users as edges. Information propagates through edges. In VC studies, it is important to know how the number of topics concerning the product grows over time and what network features make a user more influential than others in the information-spreading process. The existing literature has not provided a quantitative method with which to determine key points during the topic emergence process. Also, few researchers have considered the link between multilayer physical features and the nodes’ spreading influence. In this paper, we present two new ideas to enrich network theory as applied to VCs: a novel application of an adjusted coefficient of determination to topic growth and an adjustment to the Jaccard coefficient to measure the connection between two users. A two-layer network model was first used to study the spread of topics through a VC. A random forest method was then applied to rank various factors that might determine an individual user’s importance in topic spreading through a VC. Our research provides insightful ways for enterprises to mine information from VCs.
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Barkworth, Mary, and Neil Cobb. "Embedding Data Sharing in Biodiversity Research." Biodiversity Information Science and Standards 2 (May 22, 2018): e26262. http://dx.doi.org/10.3897/biss.2.26262.
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Increasing the number of occurrence records available for biodiversity research requires developing efficient pipelines from collectors and observers to data aggregators and then marketing those pipelines to biodiversity researchers. To be effective, these pipelines must recognize that in many countries, internet access is slow, intermittent, or expensive; cell phone internet access may be more common but many people cannot afford the costs associated with using a cell phone for databasing. The pipelines must also make it easy for users to provide high quality data that conforms to international biodiversity data standards. Marketing of these pipelines should include building understanding of these standards and enable data providers to benefit almost immediately from their contributions. Symbiota has succeeded in making over 32 million specimen records available but most come from the United States, a country with fast and reliable internet access in most regions. We have established two Symbiota-based websites, OpenHerbarium and OpenZooMuseum, to enable collectors and collections in Old World countries that lack a national network, to become contributors to and participants in the global biodiversity data sharing community. Talking with biodiversity researchers in such countries has clarified the many impediments to data sharing faced by their collectors and collections. In this presentation, we shall describe the steps we have taken, and are proposing to take, to improve the pipeline for collectors and collections in countries with poor internet access.
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Muthumani, M., and K. Chinnasamy. "Enhancing Role and Impact of Librarians in Research Output through Internet Tools: A Case Study Based on Google Scholar Profiles of Engineering Colleges in and around Madurai." Asian Journal of Information Science and Technology 9, S1 (February 5, 2019): 72–74. http://dx.doi.org/10.51983/ajist-2019.9.s1.218.
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A librarian in an academic institution plays a potentially very crucial role in the research output of the institution. Digital literacy of the librarian will be of immense help for the researchers and the institution with the ever increasing availability of internet and mobile tools. The wealth of information contained in the publicly accessible Google Scholar profiles is one such useful tool. A case study is carried out by analysing the profiles of research faculty in 12 (twelve) engineering colleges located in Madurai district. The user profiles having verified email IDs with the domain names of these institutions form part of this study. It has been demonstrated that the librarians can play an enhanced role in research output and its impact by effectively using such readily available information in a myriad ways. With the citation indicators viz. citations, h-index and i10-index for different researchers in the institution, the librarian can help the researcher and the institution compare the productivity and impact of research work. The librarian will be able to find out the publications with higher research impact and make informed decisions on subscriptions etc. Such bench marking will also help the institution to attract research talent; to identify and reward impactful works; and to publicize achievements. By creating a tag cloud of research areas in an engineering college derived through Google Scholar profiles it is illustrated how librarian can plan the library resources to be made available to the users. (S)he can further probe the above labels and find out the highly acclaimed journals in the field, post latest developments in the research field, help the users connect with the other leading researchers in the field etc. Similarly, a study of co-authors of a researcher in one of the colleges in Madurai reveals that the collaborative research network extends beyond district / state borders and comprises institutions of countries such as Australia, China and Korea. Having known this, a librarian can understand the research network – physical and virtual – and facilitate further collaboration. The readily available Google Scholar user profiles of researchers of an academic institution give a good deal of information that covers many of the impact indicators used in frameworks such as Becker Medical Library Model for Research Impact. Such possibilities are elaborated using a case study of the profiles of researchers in twelve Madurai based Engineering Colleges.
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Sonkar, Shailendra Kumar, Vishal Bhatnagar, and Rama Krishna Challa. "Need of Intelligent Search in Dynamic Social Network." Information Resources Management Journal 28, no. 2 (April 2015): 46–61. http://dx.doi.org/10.4018/irmj.2015040104.
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The user of dynamic social network does not require irrelevant and vast amount of information during a search. A need of an intelligent search is required to get the reduced, filtered and relevant information that is achieved using an intelligent information retrieval and web mining. In this paper, identification and description of facts related to needs of an intelligent search in dynamic social network has been done by the authors after the deep and thorough study conducted on several journal and conference papers that are scattered on different electronic databases globally. The usage of intelligent agent for effective information retrieval from the social network site is a very emerging area and it will help the users to find the relevant and concerned information quickly and efficiently. The findings of the authors will help researchers and scholars who are already working in this area to get the relevant information in the direction of future research.
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J, Isac Gnanaraj, and Sriram . "A Framework to Enhance Security in Nemo Environment Using AAA Mechanisms." International Journal of Emerging Research in Management and Technology 6, no. 8 (June 25, 2018): 400. http://dx.doi.org/10.23956/ijermt.v6i8.172.
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One of emerging trends in the mobile network era is Network Mobility (NEMO). It was standardized by the Internet Engineering Task Force (IETF) and gained attention of the researchers because of research opportunities that it provides. Though it was developed based on MIPv6, there are few spots that must be analyzed and rectified, especially in the security aspects. According to the literatures, NEMO lacks in providing a robust Authentication, Authorization and Accounting (AAA) services to its users. AAA operations must be performed for all the players of the mobile network, because a hacker may reside at any place and try to access the mobile network by hiding behind valid or genuine nodes’ addresses. This research work aims to provide an AAA framework for NEMO by comprising three different mechanisms which are developed for Local Mobile Node (LMN), Visiting Mobile Node (VMN) and Mobile Router (MR). Simulation and performance analysis are done.
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Wang, Yiyong, and David Baker. "Research on Algorithms of Spatial-Temporal Multi-Channel Allocation Based on the Greedy Algorithm for Wireless Mesh Network." Open Electrical & Electronic Engineering Journal 8, no. 1 (December 31, 2014): 690–94. http://dx.doi.org/10.2174/1874129001408010690.
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With the development of mobile Internet and wireless network as well as the rapid increasing number of users, people’s demand for broadband is increasing sharply, making further capacity expansion of the network the major problem for researchers. Wireless Mesh network has the advantages of high network coverage and flexible networking, especially multi-hop wireless network, its important networking format takes full use of the feature of orthogonal channel to raise the throughput of wireless network and utilization efficiency of broadband dramatically and make the channel resources allocation more flexible. This paper points out the advantages and disadvantages of Mesh network by analyzing some relatively classic algorithms based on the research of Mesh network technology in order to increase utilization efficiency of orthogonal channel further. At the same time, it proposes Spatial-Temporal Multi-Channel Allocation Based on the Greedy Algorithm for Wireless Mesh Network which takes the channel allocated in previous slot time into consideration and allocates channels to different ports to reduce the switching time and other costs. Giving the direction of nodes is up stream, it requires well-functioning nodes near the gateway. Any network fault will influence other nodes near these gateways. This allocation realizes the communication between nodes on original channel nodes, increasing utilization efficiency significantly and reducing the burden of parent node. In the end, this paper makes a conclusion of the main work.
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Walteros, Jeymmy M., and Alonso Ramírez. "Urban streams in Latin America: Current conditions and research needs." Revista de Biología Tropical 68, S2 (October 22, 2020): S13—S28. http://dx.doi.org/10.15517/rbt.v68is2.44330.
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Introduction: Latin America is a highly urbanized region, with most of its population living in cities and urban centers. While information about urban streams in Latin America is rather limited, streams are expected to experience similar environmental impacts and conservation issues as urban streams in parts of the globe, including habitat loss, channelization, sewage discharge, trash, and loss of riparian habitats. Objective: We surveyed a network of researchers from approximately 80% of the countries in Latin America to obtain information on the condition, state of knowledge, and threats to urban streams in the region. Methods: Most participants were reached via the Macrolatinos@ network (www.macrolatinos.net). Results: We obtained 104 responses from researchers in 18 of the 23 Latin American countries. Most urban streams are impacted or degraded, and inputs of contaminants and wastewater discharges were considered major drivers of stream degradation. Most respondents indicated that stream channelization is common, with some streams completely channelized or buried. Sewage and rainfall runoff management were identified as a major factor degrading streams, with most respondents suggesting that streams are a primary destination for wastewater discharge, much of which is untreated. Major limitations to urban stream conservation in Latin America are the result of limited ecological knowledge, lack of citizen interest or political will to protect them. There are isolated efforts to restore urban streams and riparian zones, but these are initial steps that need further development. Conclusions: Our research network of Latin American scientists proved to be a valuable tool to assess a large number of urban rivers in a relatively understudied region. Urban streams in Latin America face a diversity of stressors and management challenges, and we propose three areas that would benefit from further research to improve our understanding and management of these systems: (1) Studies should focus on the watershed, rather than isolated reaches, (2) researchers should strive to attain a better understanding of ecosystem function and the services provided by urban streams to justify management and restoration efforts, and (3) studies that integrate economic models where downstream users pay for upstream protection and restoration could prove beneficial for many Latin American cities in attempting to address water conservation issues.
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khan, Nida Saddaf, and Muhammad Sayeed Ghani. "Predicting Collective Synchronous State of Sentiments for Users in Social Media." July 2019 38, no. 3 (July 1, 2019): 687–704. http://dx.doi.org/10.22581/muet1982.1903.13.
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The increasing use of social media offers researchers with an opportunity to apply the sentiment analysis techniques over the data collected from social media websites. These techniques promise to provide an insight into the users’ perspectives on many areas. In this research, a sentiment analysis model is proposed based on HMC (Hidden Markov Chains) and K-Means algorithm to predict the collective synchronous state of sentiments for users on social media. HMC are used to find the converged state while K-Means is used to find the representative group of users. For this purpose, we have used data from a well-known social media site, Twitter, which consists of the tweets about a famous political party in Pakistan. The time series sequences of sentiments, of each user are passed on to the system to perform temporal analysis. The clustering with three and four number of clusters are found to be significant giving the representative groups. With three clusters, the representative group constitute of 82% of users and with four clusters, two representative groups are found having 45 and 36% of users. Analyzing these groups helps in finding the most popular behavior of users towards the concerned political party. Moreover, the groups perhaps tend to influence the opinion of other users in the network causing changes in their sentiments towards this party. The experimental results show that the proposed model has the power to distinguish behavior patterns of different individuals in a network.
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Jain, Anshul, Tanya Singh, Satyendra Kumar Sharma, and Vikas Prajapati. "Implementing Security in IoT Ecosystem Using 5G Network Slicing and Pattern Matched Intrusion Detection System: A Simulation Study." Interdisciplinary Journal of Information, Knowledge, and Management 16 (2021): 001–38. http://dx.doi.org/10.28945/4675.
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Aim/Purpose: 5G and IoT are two path-breaking technologies, and they are like wall and climbers, where IoT as a climber is growing tremendously, taking the support of 5G as a wall. The main challenge that emerges here is to secure the ecosystem created by the collaboration of 5G and IoT, which consists of a network, users, endpoints, devices, and data. Other than underlying and hereditary security issues, they bring many Zero-day vulnerabilities, which always pose a risk. This paper proposes a security solution using network slicing, where each slice serves customers with different problems. Background: 5G and IoT are a combination of technology that will enhance the user experience and add many security issues to existing ones like DDoS, DoS. This paper aims to solve some of these problems by using network slicing and implementing an Intrusion Detection System to identify and isolate the compromised resources. Methodology: This paper proposes a 5G-IoT architecture using network slicing. Research here is an advancement to our previous implementation, a Python-based software divided into five different modules. This paper’s amplification includes induction of security using pattern matching intrusion detection methods and conducting tests in five different scenarios, with 1000 up to 5000 devices in different security modes. This enhancement in security helps differentiate and isolate attacks on IoT endpoints, base stations, and slices. Contribution: Network slicing is a known security technique; we have used it as a platform and developed a solution to host IoT devices with peculiar requirements and enhance their security by identifying intruders. This paper gives a different solution for implementing security while using slicing technology. Findings: The study entails and simulates how the IoT ecosystem can be variedly deployed on 5G networks using network slicing for different types of IoT devices and users. Simulation done in this research proves that the suggested architecture can be successfully implemented on IoT users with peculiar requirements in a network slicing environment. Recommendations for Practitioners: Practitioners can implement this solution in any live or production IoT environment to enhance security. This solution helps them get a cost-effective method for deploying IoT devices on a 5G network, which would otherwise have been an expensive technology to implement. Recommendation for Researchers: Researchers can enhance the simulations by amplifying the different types of IoT devices on varied hardware. They can even perform the simulation on a real network to unearth the actual impact. Impact on Society: This research provides an affordable and modest solution for securing the IoT ecosystem on a 5G network using network slicing technology, which will eventually benefit society as an end-user. This research can be of great assistance to all those working towards implementing security in IoT ecosystems. Future Research: All the configuration and slicing resources allocation done in this research was performed manually; it can be automated to improve accuracy and results. Our future direction will include machine learning techniques to make this application and intrusion detection more intelligent and advanced. This simulation can be combined and performed with smart network devices to obtain more varied results. A proof-of-concept system can be implemented on a real 5G network to amplify the concept further.
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Lima, Vânia Mara Alves, Cibele Araújo Camargo Marques dos Santos, and Artur Simões Rozestraten. "The ARQUIGRAFIA project: A Web Collaborative Environment for Architecture and Urban Heritage Image." Journal of Data and Information Science 5, no. 1 (April 22, 2020): 51–67. http://dx.doi.org/10.2478/jdis-2020-0005.
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AbstractPurposeThis paper presents the ARQUIGRAFIA project, an open, public and nonprofit, continuous growth web collaborative environment dedicated to Brazilian architectural photographic images.Design/methodology/approachThe ARQUIGRAFIA project promotes the active and collaborative participation among its institutional users (GLAMs, NGOs, laboratories and research groups) and private users (students, professionals, professors, researchers), both can create an account and share their digitized iconographic collections in the same Web environment by uploading their files, indexing, georeferencing and assigning a Creative Commons license.FindingsThe development of users interactions by means of semantic differentials impressions recording on visible plastic-spatial aspects of the architectures in synthetic infographics, as well as by the retrieval of images through an advanced system search based on those impressions parameters. By gamification means, the system often invites users to review images’ in order to improve images’ data accuracy. The pilot project named Open Air Museum that allows users to add audio descriptions to images in situ. An interface for users’ digital curatorship will be soon available.Research limitationsThe ARQUIGRAFIA’s multidisciplinary team gathering professors-researchers, graduate and undergraduate students from the Architecture and Urbanism, Design, Information Science, Computer Science faculties of the University of São Paulo, demands continuous financial resources for grants, for contracting third party services, for the participation in scientific events in Brazil and abroad, and for equipment. Since 2016, significant budget cuts in the University of São Paulo own research funds and in Brazilian federal scientific agencies can compromise the continuity of this project.Practical implicationsThe open source template called +GRAFIA that can freely help other areas of knowledge to build their own visual Web collaborative environments.Originality/valueThe collaborative nature of the ARQUIGRAFIA distinguishes it from institutional image databases on the internet, precisely because it involves a heterogeneous network of collaborators.
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Barnes, Karen I., Julio Arturo Canario, Sunil S. Vernekar, Shivaprasad S. Goudar, Roberto Espinal, Laura Merson, and Phaik Yeong Cheah. "Equitable data sharing: challenges and suggestions for ways forward." Wellcome Open Research 4 (November 12, 2019): 172. http://dx.doi.org/10.12688/wellcomeopenres.15425.1.
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Data sharing is increasingly mandated by health research funders and publishers. In the context of data collected in low-resource settings, concerns have been raised regarding inequitable opportunities to engage in secondary use of data between researchers in well-resourced and resource-limited settings. In this context, we present three case studies and their issues related to equity: the multicountry Antenatal Corticosteroid Trial, health research in the Dominican Repulic and the WorldWide Antimalarial Resistance Network. These case studies were discussed at the 2018 Global Forum for Bioethics in Research in South Africa, focussing on the theme “The ethics of data sharing and biobanking in health research”. The case studies provide concrete examples of real challenges such as lack of prior consent for data sharing, potential for misinterpretation of data by secondary users and limited capacity of researchers in low-resource settings to conduct secondary analyses. We conclude by suggesting ways forward. We stress the importance of capacity building and investments in data management and data science skills, and in data sharing platforms supporting poverty-related disease research. In addition, we recommend that there should be incentives to promote data sharing and that research groups and institutions establish their own data sharing policies tailored to their context, data and community while persuing harmonization with existing policies as much as possible. We also think that international guidelines on authorship criteria should be revisited. For new studies, researchers should obtain consent for sharing of participants’ data with secondary users. Lastly we recommend that community and stakeholder engagement be conducted to improve the consent process and identify what might be sensitive data to mitigate any potential harms to data subjects and their communities.
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Manju G., Abhinaya P., Hemalatha M.R., Manju Ganesh G., and Manju G.G. "Cold Start Problem Alleviation in a Research Paper Recommendation System Using the Random Walk Approach on a Heterogeneous User-Paper Graph." International Journal of Intelligent Information Technologies 16, no. 2 (April 2020): 24–48. http://dx.doi.org/10.4018/ijiit.2020040102.
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Recommendation approaches generally fail to recommend newly-published papers as relevant, owing to the lack of prior information about the said papers and, more particularly, problems associated with cold starts. It would appear, to all intents and purposes, that researchers currently interact more on social networks than they normally would in academic circles, and relationships of a purely academic nature have witnessed a paradigm shift, in keeping with this new trend. In existing paper recommendation methods, the social interaction factor has yet to play a pivotal role. The authors propose a social network-based research paper recommendation method, that alleviates cold start problems by incorporating users' social interaction, as well as topical relevancy, among assorted papers in the Mendeley academic social network using a novel approach, random walk Ergodic Markov Chain. The system yields improved results after cold start alleviation, compared with the existing system.
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Nasution, Nadya Amalia, and Umi Rojiati. "MODERASI BERAGAMA DALAM RUANG DIGITAL: GERAKAN OPINI DIGITAL #SKB3MENTERI." Tatar Pasundan : Jurnal Diklat Keagamaan 15, no. 1 (June 14, 2021): 10–19. http://dx.doi.org/10.38075/tp.v15i1.198.
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The study examines Digital Movement of Opinion (DMO) by using hastag #SKB3Menteri hashtags on Twitter, thus forming a mobilization of digital opinion support between actors and hashtags as well as digital opinions. The research data was taken through Netlytic software ranging from February 03, 2021 to February 11, 2021. The method used is Social Network Analysis combined both quantitative and qualitative approach. Quantitatively, the study investigated 2500 samples from communication networks and tweets #SKB3Menteri as many as 3,232. Qualitatively, the researchers analyzed the text which describes social networks related to #SKB3Menteri. The results showed that #SKB3Menteri hashtag creates mobilization with a wide network system. The study also showed the hashtag was able to reach out Twitter users to giving their opinions. Keywords: Religious moderation; Twitter; SKB 3 Ministers; Digital Movement of Opinion; Social Network Analysis
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Easton, Katherine, Jacob Diggle, Mabel Ruethi-Davis, Megan Holmes, Darian Byron-Parker, Jessica Nuttall, and Chris Blackmore. "Qualitative Exploration of the Potential for Adverse Events When Using an Online Peer Support Network for Mental Health: Cross-Sectional Survey." JMIR Mental Health 4, no. 4 (October 30, 2017): e49. http://dx.doi.org/10.2196/mental.8168.
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Background Online peer support networks are a growing area of mental health support for offering social connection, identity, and support. However, it has been reported that not all individuals have a positive experience on such networks. The potential for adverse events within a moderated online peer support network is a new area of research exploration. Objective The objective of the study was to determine if use of an online moderated peer networks leads to adverse events for users. Methods Four biannual online surveys (October 2014 to March 2016) were conducted by a large national UK mental health charity, with users of their online peer support network exploring personal safety, moderation, experiences on the site, and how the site could be improved. Data were analyzed using thematic analysis by 2 independent researchers using a priori themes: negative experiences of moderation, social exclusion, contagion, negative interactions with other users, online relationships, co-rumination and collusion, and other. Results In total, 2353 survey responses were logged with 197 (8.37%) documenting an adverse event of negative experience. A dominant theme of negative experiences of moderation emerged (73/197, 37.1%) with evidence of social exclusion (50/197, 25.4%). Reading user posts was shown to be a cause of worry and distress for a few users, and analysis highlighted several instances of depressogenic and emotional contagion as well as some limited evidence of behavioral contagion (46/197, 23.4%). Very limited evidence of co-rumination (1/197, 0.5%) and no evidence of collusion were identified. Conclusions Evidence of adverse events was identified at low levels in the sample of respondents, although we have no comparison data to indicate if levels are low compared with comparable platforms. Not all users of online peer support networks find them wholly beneficial. Research must explore what works for whom. The next stage of service development should consider which users may be likely to receive no benefit, or even deteriorate, as a result of using the service.
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Siregar, Amril Mutoi. "KLASIFIKASI ALGORITMA TF DAN NEUTRAL NETWORK DALAM SENTIMEN ANALISIS." AIMS: Jurnal Accounting Information System 1, no. 2 (September 30, 2018): 1–8. http://dx.doi.org/10.32627/aims.v1i2.17.
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Nowadays social media has become one of the tools to express idea or opinion. They are more active expressing it on social media instead of speaking directly. Twitter is the most popular among them to express idea, also share news, picture, music and etc. Twitter users are increasing significantly each year as the result the information grows in same way. Due too much information flow, people get difficulties to make sure or clarify the news. For example, Looking for the information about a figure who will participate in a Pilkada. There are many researchers analyze subjectively and haven’t given the maximum result yet. This research is trying to clarify information and divided them into positive, negative and neutral information. It is using TF algorithm and Neutral Network as the tools. The dataset is taken from a figure’ twitter which is participate in Pilkada. And the result shows that accuracy 66.92%, positive precision 67.80%, negative precision 64.29%, neutral precision 73.33%, and positive recall 80%, negative recall 70%, neutral recall 36.67%.
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Paley, Suzanne, Richard Billington, James Herson, Markus Krummenacker, and Peter D. Karp. "Pathway Tools Visualization of Organism-Scale Metabolic Networks." Metabolites 11, no. 2 (January 22, 2021): 64. http://dx.doi.org/10.3390/metabo11020064.
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Metabolomics, synthetic biology, and microbiome research demand information about organism-scale metabolic networks. The convergence of genome sequencing and computational inference of metabolic networks has enabled great progress toward satisfying that demand by generating metabolic reconstructions from the genomes of thousands of sequenced organisms. Visualization of whole metabolic networks is critical for aiding researchers in understanding, analyzing, and exploiting those reconstructions. We have developed bioinformatics software tools that automatically generate a full metabolic-network diagram for an organism, and that enable searching and analyses of the network. The software generates metabolic-network diagrams for unicellular organisms, for multi-cellular organisms, and for pan-genomes and organism communities. Search tools enable users to find genes, metabolites, enzymes, reactions, and pathways within a diagram. The diagrams are zoomable to enable researchers to study local neighborhoods in detail and to see the big picture. The diagrams also serve as tools for comparison of metabolic networks and for interpreting high-throughput datasets, including transcriptomics, metabolomics, and reaction fluxes computed by metabolic models. These data can be overlaid on the metabolic charts to produce animated zoomable displays of metabolic flux and metabolite abundance. The BioCyc.org website contains whole-network diagrams for more than 18,000 sequenced organisms. The ready availability of organism-specific metabolic network diagrams and associated tools for almost any sequenced organism are useful for researchers working to better understand the metabolism of their organism and to interpret high-throughput datasets in a metabolic context.
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Fradgley, Elizabeth A., Jon Karnon, Della Roach, Katherine Harding, Laura Wilkinson-Meyers, Catherine Chojenta, Megan Campbell, et al. "Taking the pulse of the health services research community: a cross-sectional survey of research impact, barriers and support." Australian Health Review 44, no. 1 (2020): 160. http://dx.doi.org/10.1071/ah18213.
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Objective This study reports on the characteristics of individuals conducting health service research (HSR) in Australia and New Zealand, the perceived accessibility of resources for HSR, the self-reported impact of HSR projects and perceived barriers to conducting HSR. Methods A sampling frame was compiled from funding announcements, trial registers and HSR organisation membership. Listed researchers were invited to complete online surveys. Close-ended survey items were analysed using basic descriptive statistics. Goodness of fit tests determined potential associations between researcher affiliation and access to resources for HSR. Open-ended survey items were analysed using thematic analysis. Results In all, 424 researchers participated in the study (22% response rate). Respondents held roles as health service researchers (76%), educators (34%) and health professionals (19%). Most were employed by a university (64%), and 57% held a permanent contract. Although 63% reported network support for HSR, smaller proportions reported executive (48%) or financial (26%) support. The least accessible resources were economists (52%), consumers (49%) and practice change experts (34%); researchers affiliated with health services were less likely to report access to statisticians (P<0.001), economists (P<0.001), librarians (P=0.02) and practice change experts (P=0.02) than university-affiliated researchers. Common impacts included conference presentations (94%), publication of peer-reviewed articles (87%) and health professional benefits (77%). Qualitative data emphasised barriers such as embedding research culture within services and engaging with policy makers. Conclusions The data highlight opportunities to sustain the HSR community through dedicated funding, improved access to methodological expertise and greater engagement with end-users. What is known about the topic? HSR faces several challenges, such as inequitable funding allocation and difficulties in quantifying the effects of HSR on changing health policy or practice. What does this paper add? Despite a vibrant and experienced HSR community, this study highlights some key barriers to realising a greater effect on the health and well-being of Australian and New Zealand communities through HSR. These barriers include limited financial resources, methodological expertise, organisational support and opportunities to engage with potential collaborators. What are the implications for practitioners? Funding is required to develop HSR infrastructure, support collaboration between health services and universities and combine knowledge of the system with research experience and expertise. Formal training programs for health service staff and researchers, from short courses to PhD programs, will support broader interest and involvement in HSR.
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Kou, Huaizhen, Fan Wang, Chao Lv, Zhaoan Dong, Wanli Huang, Hao Wang, and Yuwen Liu. "Trust-Based Missing Link Prediction in Signed Social Networks with Privacy Preservation." Wireless Communications and Mobile Computing 2020 (November 13, 2020): 1–10. http://dx.doi.org/10.1155/2020/8849536.
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With the development of mobile Internet, more and more individuals and institutions tend to express their views on certain things (such as software and music) on social platforms. In some online social network services, users are allowed to label users with similar interests as “trust” to get the information they want and use “distrust” to label users with opposite interests to avoid browsing content they do not want to see. The networks containing such trust relationships and distrust relationships are named signed social networks (SSNs), and some real-world complex systems can be also modeled with signed networks. However, the sparse social relationships seriously hinder the expansion of users’ social circle in social networks. In order to solve this problem, researchers have done a lot of research on link prediction. Although these studies have been proved to be effective in the unsigned social network, the prediction of trust and distrust in SSN has not achieved good results. In addition, the existing link prediction research does not consider the needs of user privacy protection, so most of them do not add privacy protection measures. To solve these problems, we propose a trust-based missing link prediction method (TMLP). First, we use the simhash method to create a hash index for each user. Then, we calculate the Hamming distance between the two users to determine whether they can establish a new social relationship. Finally, we use the fuzzy computing model to determine the type of their new social relationship (e.g., trust or distrust). In the paper, we gradually explain our method through a case study and prove our method’s feasibility.
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Glandon, Douglas, Ligia Paina, and Connie Hoe. "Reflections on benefits and challenges of longitudinal organisational network analysis as a tool for health systems research and practice." BMJ Global Health 6, no. 8 (August 2021): e005849. http://dx.doi.org/10.1136/bmjgh-2021-005849.
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As health systems practitioners and researchers increasingly turn towards systems thinking approaches and work on building interorganisational networks, they have demonstrated increasing interest in network analysis for investigating relationships and interactions between system actors, both at the individual and organisational levels. Despite the potential of network-based approaches to improve health system efficiency, effectiveness and responsiveness, both the theoretical and practical guidance on designing and evaluating network-building strategies is underdeveloped within the field. While there are multiple tools and resources to help users collect, manage and analyse network data, there is much less guidance on the practical applications of this information. One apparent gap is the limited application of longitudinal organisational network analysis, in which data are collected from the same organisational actors repeatedly over multiple time points. This yields insights into the dynamic nature of networks, including how the network structure and interactions change over time. Given that networks are rarely static, the addition of the time dimension has the potential to substantially enhance the analytical value of network analysis and contribute to more nuanced guidance for interested practitioners and policymakers. In this article, the authors draw on their experiences in conducting longitudinal network analysis of interorganisational relationships in the USA and India to comment on the opportunities and challenges of the methodology within the field of health systems research. We also provide suggestions as to how some of these challenges may be addressed or mitigated.
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Zhang, Xia, Zhengyou Xia, and Zhan Bu. "Popularity Evaluation Model for Microbloggers Online Social Network." Discrete Dynamics in Nature and Society 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/356072.
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Recently, microblogging is widely studied by the researchers in the domain of the online social network (OSN). How to evaluate the popularities of microblogging users is an important research field, which can be applied to commercial advertising, user behavior analysis and information dissemination, and so forth. Previous studies on the evaluation methods cannot effectively solve and accurately evaluate the popularities of the microbloggers. In this paper, we proposed an electromagnetic field theory based model to analyze the popularities of microbloggers. The concept of the source in microblogging field is first put forward, which is based on the concept of source in the electromagnetic field; then, one’s microblogging flux is calculated according to his/her behaviors (send or receive feedbacks) on the microblogging platform; finally, we used three methods to calculate one’s microblogging flux density, which can represent one’s popularity on the microblogging platform. In the experimental work, we evaluated our model using real microblogging data and selected the best one from the three popularity measure methods. We also compared our model with the classic PageRank algorithm; and the results show that our model is more effective and accurate to evaluate the popularities of the microbloggers.
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Ratza, Carol A. "The Great Lakes Information Network: the Region's Internet Information Service." Toxicology and Industrial Health 12, no. 3-4 (May 1996): 557–61. http://dx.doi.org/10.1177/074823379601200327.
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Communication is the cornerstone of ecosystem protection and sustainable development efforts in the binational Great Lakes region of North America. Great Lakes environmental protection, remediation, and pollution prevention efforts bring together individuals from across the public sector, business and industry, citizens groups, and academia. The region is now working to enhance communications between these groups and the rest of the world, through the Internet-based Great Lakes Information Network (GLIN). Diverse regional data, information, and human resources located at key agencies and organizations are accessible via GLIN. These online resources span environmental quality, human health effects and other research, resource management, transportation, demographic, and economic data, as well as other resources in the Great Lakes region of the United States and Canada. Federal, state, provincial, and regional agencies and a range of citizen, business, and research organizations are cooperating with the lead agency, the Great Lakes Commission, in developing GLIN into the region's shared Internet resource. GLIN resources are accessible to users of ubiquitous Internet research tools including World Wide Web and Gopher. Statistical information on usage and the region's response to ongoing efforts to build the GLIN system and solicit contributions of data and information indicate that we can continue to build GLIN into a truly regional resource which enhances communication among researchers, policy makers, students, and the general public.
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Gil-Ramírez, Hernán, and Rosa María Guilleumas-García. "Methodology for sentiment analysis in twitter posts about mobile learning." South Florida Journal of Development 2, no. 2 (June 4, 2021): 2718–28. http://dx.doi.org/10.46932/sfjdv2n2-125.
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Analysis of social networks has become of great interest to researchers from different areas, including educators, due to Twitter’s growing importance as a space for discussion and dissemination of knowledge and opinions. This reality demands the development of analysis processes that allow to know the topics of interest in the network, the positive or negative feelings in relation to those topics and who the network influencers are. Those objectives guided this research work and in order to achieve them, we developed a methodological proposal for sentiment analysis of tweets. This article describes the process followed, which involved 1) detecting the structure of the communication network, 2) calculating the general metrics, 3) representing the communication network, 4) identifying and analyzing the clusters, 5) calculating their metrics as well as those of the individual nodes and 6) establishing the polarity of the posts published in the network. This paper also describes the methodoly followed to identify trends and topics of interest in the hashtags and web domains included in the tweets. The proposal for analysis presented here is intended to help researchers interested in the field of social networks, to understand the complex interactions that take place in these environments and the way in which information is disseminated, valued and converted into topics of interest thanks to the network users’ actions.