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1

Zhao, Y., E. Levina, and J. Zhu. "Community extraction for social networks." Proceedings of the National Academy of Sciences 108, no. 18 (2011): 7321–26. http://dx.doi.org/10.1073/pnas.1006642108.

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Romano, William, Omar Sharif, Madhusudan Basak, Joseph Gatto, and Sarah Masud Preum. "Theme-Driven Keyphrase Extraction to Analyze Social Media Discourse." Proceedings of the International AAAI Conference on Web and Social Media 18 (May 28, 2024): 1315–27. http://dx.doi.org/10.1609/icwsm.v18i1.31391.

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Social media platforms are vital resources for sharing self-reported health experiences, offering rich data on various health topics. Despite advancements in Natural Language Processing (NLP) enabling large-scale social media data analysis, a gap remains in applying keyphrase extraction to health-related content. Keyphrase extraction is used to identify salient concepts in social media discourse without being constrained by predefined entity classes. This paper introduces a theme-driven keyphrase extraction framework tailored for social media, a pioneering approach designed to capture clinical
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Abdelsadek, Youcef, Kamel Chelghoum, Francine Herrmann, Imed Kacem, and Benoît Otjacques. "Community extraction and visualization in social networks applied to Twitter." Information Sciences 424 (January 2018): 204–23. http://dx.doi.org/10.1016/j.ins.2017.09.022.

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Boné, João, Mariana Dias, João C. Ferreira, and Ricardo Ribeiro. "DisKnow: A Social-Driven Disaster Support Knowledge Extraction System." Applied Sciences 10, no. 17 (2020): 6083. http://dx.doi.org/10.3390/app10176083.

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This research is aimed at creating and presenting DisKnow, a data extraction system with the capability of filtering and abstracting tweets, to improve community resilience and decision-making in disaster scenarios. Nowadays most people act as human sensors, exposing detailed information regarding occurring disasters, in social media. Through a pipeline of natural language processing (NLP) tools for text processing, convolutional neural networks (CNNs) for classifying and extracting disasters, and knowledge graphs (KG) for presenting connected insights, it is possible to generate real-time vis
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Makris, Christos, and Georgios Pispirigos. "Stacked Community Prediction: A Distributed Stacking-Based Community Extraction Methodology for Large Scale Social Networks." Big Data and Cognitive Computing 5, no. 1 (2021): 14. http://dx.doi.org/10.3390/bdcc5010014.

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Nowadays, due to the extensive use of information networks in a broad range of fields, e.g., bio-informatics, sociology, digital marketing, computer science, etc., graph theory applications have attracted significant scientific interest. Due to its apparent abstraction, community detection has become one of the most thoroughly studied graph partitioning problems. However, the existing algorithms principally propose iterative solutions of high polynomial order that repetitively require exhaustive analysis. These methods can undoubtedly be considered resource-wise overdemanding, unscalable, and
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Ren, Yue. "Injection versus Extraction." Athanor 37 (December 3, 2019): 37–52. http://dx.doi.org/10.33009/fsu_athanor116678.

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Socially Engaged Art (SEA) is a conventional yet emerging phenomenon at the broadest level. On one hand, art practices stimulated by and generated from social issues have taken a vital role along the development of modern and contemporary art, as we can now hardly indicate a single artwork that stands by its pure aesthetics; such situation only intensifies in the era of globalization, urbanization and information-explosion. On the other hand, while clusters of art practices appropriating and rebinding the social reality, a much longer list of analogous terminologies including public art, commu
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Graham, Felicia Christine. "Social Impacts of Resource Extraction: A Comparative Examination of Andean Latin America and Implications for Rising Colombia." Perspectives on Global Development and Technology 13, no. 1-2 (2014): 209–23. http://dx.doi.org/10.1163/15691497-12341297.

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AbstractResource extractive conflicts are typically attributed to environmental or economic concerns. In this article I argue, however, that conflicts in Andean Latin America are also shown to incorporate social concerns born from structural shifts inherent in resource extraction that alter land use, labor, and community relations. I also seek to bring to the fore the actual social impacts of resource extraction to argue that these factors play a larger role in shaping individual, community, and even political consciousness. An examination of this sort allows for a more comprehensive understan
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Mehmet, Mehmet (Michael) Ibrahim, and Peter Simmons. "Operationalizing social media in upstream social marketing." Journal of Social Marketing 9, no. 3 (2019): 288–308. http://dx.doi.org/10.1108/jsocm-08-2018-0074.

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Purpose The purpose of this paper is to demonstrate how upstream social marketing may benefit from social media citizensourcing and improve understanding of community preferences and attitudes to policy. Using the case of shark management in New South Wales, Australia, this paper aims to understand community attitudes toward shark management policy-making and policymakers. Design/methodology/approach In February 2017, more than 11,200 comments were sourced from Facebook and Twitter using Netvizz, a data extraction tool. To analyze these comments, the study used an abductive framework using soc
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Kripe, Zane. "Making Community Work: Constructing Singapore’s Start-Up Community." Asiascape: Digital Asia 6, no. 3 (2019): 161–84. http://dx.doi.org/10.1163/22142312-12340110.

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Abstract Based on an ethnographic study of technology entrepreneurs in Singapore between 2011 and 2015, this article explores ‘community’ as an emic concept for those involved in the production of web technologies. One major area in which the concept was used was in the organization of social relationships amongst those who saw themselves as occupied with technology start-ups. However, successful applications were not free of contradictions and required significant investment. This article then takes issue with the often-implicit understanding in academic as well as popular discussions of (dig
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Lust, Ellen, and Lise Rakner. "The Other Side of Taxation: Extraction and Social Institutions in the Developing World." Annual Review of Political Science 21, no. 1 (2018): 277–94. http://dx.doi.org/10.1146/annurev-polisci-042716-102149.

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The fiscal sociology literature views the state at the heart of development, but in most developing countries, formal taxation is limited. Instead, local residents make substantial contributions outside the state to the provision of public goods. That is, they engage in what we call social extraction rather than state taxation. This article conceptualizes social extraction and the social institutions that drive extraction. Furthermore, it considers variations in the content of social institutions, and it proposes research agendas that allow us to understand how social institutions impact resou
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Gupta, Suneet, Sumit Kumar, Sunil L. Bangare, Shibili Nuhmani, Arnold C. Alguno, and Issah Abubakari Samori. "Homogeneous Decision Community Extraction Based on End-User Mental Behavior on Social Media." Computational Intelligence and Neuroscience 2022 (March 8, 2022): 1–9. http://dx.doi.org/10.1155/2022/3490860.

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Aiming at the inadequacy of the group decision-making method with the current attribute value as interval language information, an interval binary semantic decision-making method is proposed, which considers the decision maker’s psychological behavior. The scope of this research is that this paper is based on localized amplification method. The localized amplification method used in this research may amplify physiological movement after removing unwanted noise, allowing the movement trend to be seen with the naked eye, improving the CNN network’s mental identification accuracy. These two algor
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Cheng, Zeng. "THE CONSTRUCTION AND PRACTICE OF COMMUNITY CRISIS INFORMATION MINING MODEL ON THE WECHAT INTERNET PLATFORM RESEARCH." EUrASEANs: journal on global socio-economic dynamics, no. 6(43) (November 3, 2023): 20–30. http://dx.doi.org/10.35678/2539-5645.6(43).2023.20-30.

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Mining community crisis information on Internet platforms is a complex project. This study focuses on theoretical review, subject intervention, and practical research from a management perspective. The goal is to optimize the model of WeChat Internet community information governance and propose a mining search and extraction method for community public opinion information in social networks. The study aims to effectively manage traditional public opinion information in terms of search, cleaning, extraction, storage, and more. The research also designs a search system structure for community in
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S., Jayadatta, Gangadhar Shreei, and Pramod Gadigeppagoudar. "Role of Community Perceptions in Corporate Social Responsibility." GBS Impact: Journal of Multi Disciplinary Research 8, no. 1 (2022): 108–22. http://dx.doi.org/10.58419/gbs.v8i1.812211.

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Academics and business professionals have grown increasingly interested in the topic of corporate social responsibility (CSR). In terms of corporate-community interactions, this study adds to the conversation on CSR in the context of the Nigerian oil industry. It especially entails a review of CSR programs implemented by multinational corporations (MNC) doing business in the Niger Delta and their effects on the traditional means of subsistence of the indigenous populations. In order to analyse the interaction between the host communities and the MNCs, this study explores community attitudes an
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Schöneich, Svenja. "PICKING A FIGHT WITH A DRAGON: RESISTING OIL AND GAS EXTRACTION IN A MEXICAN PEASANT COMMUNITY." Mobilization: An International Quarterly 27, no. 2 (2022): 229–46. http://dx.doi.org/10.17813/1086-671x-27-2-229.

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It is well known that oil and gas extraction projects cause protests in many communities around the world, particularly in Latin America. However, not every community affected by the negative consequences of extraction engages in resistance. Based on the theoretical framework of social movement studies and anthropology, this article draws on findings from in-depth ethnographic fieldwork to examine why and how the members of a Mexican peasant community affected by oil and gas extraction engage in resistance. It does so by following Fletcher’s (2001) plea to reclaim the focus on the origins of r
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Osazuwa, Dr Christopher Mitchell, and Assoc Prof Bulus Nom Aud. "Youth Activism and Resource Extraction Conflicts in Rivers State, Nigeria." International Journal of Research and Innovation in Applied Science IX, no. VI (2024): 510–22. http://dx.doi.org/10.51584/ijrias.2024.906045.

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This study specifically examines the profound connection between youth activism and resource extraction conflicts in Rivers State, Nigeria. It posits that youth activism, with its significant impact on these disputes, not only shapes the region’s social and political landscape but also advocates for sustainable development and community well-being. The study, employing a literature review approach, scrutinizes academic publications, reports, and online sources to explore the diverse roles of young people in driving positive change. It utilizes social movement and frustration-aggression theorie
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Guellil, Imane, Ahsan Adeel, Faical Azouaou, Sara Chennoufi, Hanene Maafi, and Thinhinane Hamitouche. "Detecting hate speech against politicians in Arabic community on social media." International Journal of Web Information Systems 16, no. 3 (2020): 295–313. http://dx.doi.org/10.1108/ijwis-08-2019-0036.

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Purpose This paper aims to propose an approach for hate speech detection against politicians in Arabic community on social media (e.g. Youtube). In the literature, similar works have been presented for other languages such as English. However, to the best of the authors’ knowledge, not much work has been conducted in the Arabic language. Design/methodology/approach This approach uses both classical algorithms of classification and deep learning algorithms. For the classical algorithms, the authors use Gaussian NB (GNB), Logistic Regression (LR), Random Forest (RF), SGD Classifier (SGD) and Lin
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Kocoń, Paweł. "Selected social phenomena following the extraction of mineral resources." Environmental & Socio-economic Studies 2, no. 4 (2014): 47–51. http://dx.doi.org/10.1515/environ-2015-0050.

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AbstractThe author, due to the didactic needs and seeing a small gap in the way of presenting scientific data on the area of social science, have decided to present this work hoping that it will influence on widening both the social science and geography knowledge of the recipients, having connected the development and creation of certain social phenomena with particular economic activity, that is, the extraction of mineral resources. The aim of the hereby text is to present such social phenomena like organizational culture, discourse and social capital. The notions mentioned above ought to co
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Bi, Juan, Zhiguang Qin, Hu Xiong, and Jia Huang. "Simultaneous community discovery and user interests extraction in social network based on probabilistic model." International Journal of Intelligent Information and Database Systems 8, no. 3 (2014): 260. http://dx.doi.org/10.1504/ijiids.2014.066637.

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Intelligence and Neuroscience, Computational. "Retracted: Homogeneous Decision Community Extraction Based on End-User Mental Behavior on Social Media." Computational Intelligence and Neuroscience 2023 (August 2, 2023): 1. http://dx.doi.org/10.1155/2023/9795101.

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Lawendatu, Sandri Reza, Helena Sri Sulastriningsih, Xaverius Erick Lobja, and Ellen Eva Poli. "Dampak Sosial dan Ekonomi Aktivitas Penambangan Batu Split di Kecamatan Tabukan Utara Kabupaten Kepulauan Sangihe." Jurnal Social Science 11, no. 2 (2023): 51–57. http://dx.doi.org/10.53682/jss.v11i2.7506.

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This study aims to describe the social and economic conditions of the split stone-picking community in Kalebuka 1 village and Kalebuka village. The research focus consists of social conditions, which include cooperation, and economic conditions, which include changes in people's living standards. The results showed that the extraction of split stones in the villages of Kalebuka 1 and Kalebuka had both positive and negative social and economic impacts. Positive social impacts include the establishment of cooperation, growing work motivation, an increase in income, and the occurrence of social i
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Yamaguchi, Takehiro, and Ayahiko Niimi. "Extraction of Community Transition Rules from Data Streams as Large Graph Sequence." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 8 (2011): 1073–81. http://dx.doi.org/10.20965/jaciii.2011.p1073.

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In this study, we treat transactional sets of data streams as a graph sequence. This graph sequence represents both the relational structures of data for each period and changes in these structures. In addition, we analyze changes in a community in this graph sequence. Our proposed algorithm extracts community transition rules to detect communities that appear irregularly in a graph sequence using our proposed method combined with adaptive graph kernels and hierarchical clustering. In experiments using synthetic datasets and social bookmark datasets, we demonstrate that our proposed algorithm
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Musnadi, Said, Ridwan Ibrahim, Zuraida Zuraida, Maulidar Agustina, and Mahdani Ibrahim. "Black gold, dark realities: Unpacking the socio-economic and environmental fallout of unauthorized oil extraction (Investigation in East Aceh, Indonesia)." Environmental Economics 15, no. 2 (2024): 64–76. http://dx.doi.org/10.21511/ee.15(2).2024.05.

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Environmental degradation can lead to climate change, air and water quality degradation, and biodiversity loss. The study aims to assess the impact of illegal oil extraction on environmental, social, economic, and public health dimensions in Peurelak, East Aceh, Indonesia. Using proportional random sampling techniques, 245 respondents were selected, representing owners and investors (9), tenant investors (18), workers/laborers (68), melters (6), public figures/community leaders (3), the community (138), and village government officials (3). Data were analyzed using structural equation modeling
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Mateiciuc, Ioan. "Mime Language. From Singularity To Community." Theatrical Colloquia 10, no. 1 (2020): 168–75. http://dx.doi.org/10.2478/tco-2020-0012.

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AbstractThis article approaches the subject of theatrical language in mime, aiming to identify the mechanisms and resources of stage performance, referring itself to the silence/speech binomial. Can mime impose a valid theatrical language? Will a type of structuralism, through a reduction of complexities, manage to encompass the essence of the implications of stage acting within social structures? We will see the extent to which theater can trace a pattern of collective mime language socially and the extent to which such an approach will manage to encompass the interaction of the mind with an
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Siti, Yuliyanti, Djatna Taufik, and Sukoco Heru. "Sentiment Mining of Community Development Program Evaluation Based on Social Media." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 4 (2017): 1858–64. https://doi.org/10.12928/TELKOMNIKA.v15i4.4633.

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It is crucial to support community-oriented services for youth awareness in the social media with knowledge extraction, which would be useful for both government agencies and community group of interest for program evaluation. This work provided to formulate effective evaluation on community development program and addressing them to a correct action. By using classification based SVM, evaluation of the achievement level conducted in both quantitative and qualitative analysis, particularly to conclude which activities has high success rate. By using social media based activities, this study se
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Mishra, Shubhanshu. "Information extraction from digital social trace data with applications to social media and scholarly communication data." ACM SIGIR Forum 54, no. 1 (2020): 1–2. http://dx.doi.org/10.1145/3451964.3451981.

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Information extraction (IE) aims at extracting structured data from unstructured or semi-structured data. The thesis starts by identifying social media data and scholarly communication data as a special case of digital social trace data (DSTD). This identification allows us to utilize the graph structure of the data (e.g., user connected to a tweet, author connected to a paper, author connected to authors, etc.) for developing new information extraction tasks. The thesis focuses on information extraction from DSTD, first, using only the text data from tweets and scholarly paper abstracts, and
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Egede, Hephzibah, and John Hatchard. "UNIVERSITY OF BUCKINGHAM CENTRE FOR EXTRACTIVE ENERGY STUDIES." Denning Law Journal 28 (November 15, 2016): 4–6. http://dx.doi.org/10.5750/dlj.v28i0.1279.

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The University of Buckingham Centre for Extractive Energy Studies (UBCEES) offers a uniquely holistic approach to the study of extractive energy. This ranges from issues of good governance and accountability, combating corruption and asset recovery, on to the legal, fiscal and competition issues relating to the actual process of the extraction and carriage of energy resources and its environmental and social impact. It also explores contemporary issues relating to the exploitation and extraction of offshore energy from the sea, fracking, community and labour rights in the global extractive ene
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Laxmi, Laxmi, Sitti Hermina, La Ode Aris, Erens E. Koodoh, and Zainal Zainal. "Sustaining Social Harmony: Exploring Community Cohesion through the Kondowa-Dongkala Village Festival in Buton." MUHARRIK: Jurnal Dakwah dan Sosial 6, no. 2 (2024): 333–47. http://dx.doi.org/10.37680/muharrik.v6i2.4891.

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The traditional village festival demonstrates the essence of unity values, catalyzing social cohesion within the community. Various cultural manifestations, such as customary deliberations, traditional ceremonies, and local arts performances, signify the underlying social system. This study aims to elucidate the social cohesion among the Kondowa-Dongkala community through the village festival in Buton. Employing a qualitative research method, data were collected through in-depth interviews with key informants, including Parabela Anamohane and local community members actively involved in the fe
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KIPKOSGEI, EVELYN. "Extractivism, Profits and People: Environmental, Social and Economic Costs of Fluorspar Mining In Kerio Valley, Kenya." International Journal of Social Science and Economics Invention 10, no. 04 (2024): 37–42. https://doi.org/10.23958/ijssei/vol10-i04/371.

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This paper examines the disruptive effect of resource extraction through fluorspar mining in Kerio-Valley. Focus is on how this process sparked off economic contestations, intense ecological crisis, and heightened social tensions. The discovery and subsequent mining of Fluorspar deposits in Kerio Valley has created economic opportunities and caused profound challenges for the indigene Keiyo community. Mineral extraction has caused environmental degradation, deforestation, water contamination, cultural desecration, and land dilapidation, which has adversely affected local agriculture and biodiv
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Legate, Amanda, and Kim Nimon. "(Semi)automated approaches to data extraction for systematic reviews and meta-analyses in social sciences: A living review protocol." F1000Research 11 (September 12, 2022): 1036. http://dx.doi.org/10.12688/f1000research.125198.1.

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Background: An abundance of rapidly accumulating scientific evidence presents novel opportunities for researchers and practitioners alike, yet such advantages are often overshadowed by resource demands associated with finding and aggregating a continually expanding body of scientific information. Across social science disciplines, the use of automation technologies for timely and accurate knowledge synthesis can enhance research translation value, better inform key policy development, and expand the current understanding of human interactions, organizations, and systems. Ongoing developments s
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Legate, Amanda, and Kim Nimon. "(Semi)automated approaches to data extraction for systematic reviews and meta-analyses in social sciences: A living review protocol." F1000Research 11 (January 27, 2023): 1036. http://dx.doi.org/10.12688/f1000research.125198.2.

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Background: An abundance of rapidly accumulating scientific evidence presents novel opportunities for researchers and practitioners alike, yet such advantages are often overshadowed by resource demands associated with finding and aggregating a continually expanding body of scientific information. Across social science disciplines, the use of automation technologies for timely and accurate knowledge synthesis can enhance research translation value, better inform key policy development, and expand the current understanding of human interactions, organizations, and systems. Ongoing developments s
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Kim, Yong-Hyuk, Sehoon Seo, Yong-Ho Ha, Seongwon Lim, and Yourim Yoon. "Two Applications of Clustering Techniques to Twitter: Community Detection and Issue Extraction." Discrete Dynamics in Nature and Society 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/903765.

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Twitter’s recent growth in the number of users has redefined its status from a simple social media service to a mass media. We deal with clustering techniques applied to Twitter network and Twitter trend analysis. When we divide and cluster Twitter network, we can find a group of users with similar inclination, called a “Community.” In this regard, we introduce the Louvain algorithm and advance a partitioned Louvain algorithm as its improved variant. In the result of the experiment based on actual Twitter data, the partitioned Louvain algorithm supplemented the performance decline and shortene
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Babidge, Sally. "The problem with “transparency”." Focaal 2015, no. 73 (2015): 70–83. http://dx.doi.org/10.3167/fcl.2015.730106.

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Subterranean waters in the mineral-rich and water-poor Atacama desert, northern Chile, are subject to contest between resource-extracting companies and mostly indigenous residents. In complying with global Corporate Social Responsibility standards and local agreements, and in an effort to reduce opposition from indigenous groups, some mining companies have begun to undertake “transparency” reporting regarding the impact of their subterranean water extraction activities. These engagements present a moral interface between two streams of global discourse: the CSR principle of “transparency” on i
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Komang, Krisna Dewi, Firstyananda Wim, and Firdaus Ihsan. "PROFILE OF INDICATIONS FOR TOOTH EXTRACTION BASED ON THE SOCIODEMOGRAPHICS OF THE COMMUNITY IN SERAM ISLAND MALUKU INDONESIA DURING THE MOESTOPO JELAJAH NUSANTARA 2024." INTERNATIONAL JOURNAL OF PHARMACEUTICAL AND BIO-MEDICAL SCIENCE 04, no. 12 (2024): 1013–20. https://doi.org/10.5281/zenodo.14555130.

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<strong>Background:</strong>&nbsp;The condition of the oral health of the Indonesian people is still in the poor category. Based on Riskesdas 2018 data, in Maluku there are 66.7% of people still have problems with oral health. People who have received oral care from medical personnel are 7.2%. This is due to the lack of health centres with dentists. Seram Islands is one of the islands in Maluku Indonesia that still lacks Dentist personnel at its Sub-District Health Centre. This condition has an impact on the high level of tooth decay experienced by the community from a young age. Low knowledge
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Melekis, Kelly, and Carol Weisse. "COLLABORATIVE RESEARCH WITH A MIXED-METHOD DATASET USING DECEDENT DATA." Innovation in Aging 7, Supplement_1 (2023): 296. http://dx.doi.org/10.1093/geroni/igad104.0987.

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Abstract This presentation will present opportunities and challenges in building and sharing a mixed method dataset of terminally ill hospice patients from residential homes for the dying (social model hospice). As nonprofit, community-based settings, residential homes for the dying document care decisions using paper files and handwritten notes, and files range in size based on length of stay (with some files being hundreds of pages in length). Through a multi-site community-university partnership, we have scanned over 500 patient records, extracted quantitative data, and de-identified data f
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Resnawaty, Risna. "Empowered Community vs Dependent Community: Corporate Social Responsibility (CSR) Implications by Mining Companies in South Sumatra Province." Mediterranean Journal of Social Sciences 8, no. 5-1 (2017): 69–78. http://dx.doi.org/10.2478/mjss-2018-0098.

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Abstract Mining business actors have an obligation to maintain the sustainability of the surrounding environment, both in the physical and the social environment. Coal mining extraction activities are closely related to the exploration and exploitation of natural resources. This activity is in contact with the interests of the surrounding community, in particular with the negative impact caused. Mining companies in Indonesia are bound by the Mineral and Coal Mining Act no. 4 of 2009 to carry out community development and empowerment. Under the law, the companies are required to implement Corpo
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Samanlangi, Ilham. "Environmental Justice and Resource Extraction: Analyzing the Social Dynamics of Mining Projects." Global International Journal of Innovative Research 2, no. 4 (2024): 700–709. http://dx.doi.org/10.59613/global.v2i4.130.

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Environmental justice issues are increasingly prevalent in resource extraction industries, particularly in the context of mining projects. This study aims to investigate the social dynamics surrounding mining activities and their implications for environmental justice. Using a qualitative approach, including literature review and library research, this research explores the multifaceted aspects of environmental justice in the context of mining projects. The primary objective is to identify the underlying social factors that contribute to environmental injustices in resource extraction activiti
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Yow, Kai Siong, Ningyi Liao, Siqiang Luo, and Reynold Cheng. "Machine Learning for Subgraph Extraction: Methods, Applications and Challenges." Proceedings of the VLDB Endowment 16, no. 12 (2023): 3864–67. http://dx.doi.org/10.14778/3611540.3611571.

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Subgraphs are obtained by extracting a subset of vertices and a subset of edges from the associated original graphs, and many graph properties are known to be inherited by subgraphs. Subgraphs can be applied in many areas such as social networks, recommender systems, biochemistry and fraud discovery. Researchers from various communities have paid a great deal of attention to investigate numerous subgraph problems, by proposing algorithms that mainly extract important structures of a given graph. There are however some limitations that should be addressed, with regard to the efficiency, effecti
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Shaha, Al-Otaibi, Altwoijry Nourah, Alqahtani Alanoud, et al. "Cosine similarity-based algorithm for social networking recommendation." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 1881–92. https://doi.org/10.11591/ijece.v12i2.pp1881-1892.

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Social media have become a discussion platform for individuals and groups. Hence, users belonging to different groups can communicate together. Positive and negative messages as well as media are circulated between those users. Users can form special groups with people who they already know in real life or meet through social networking after being suggested by the system. In this article, we propose a framework for recommending communities to users based on their preferences; for example, a community for people who are interested in certain sports, art, hobbies, diseases, age, case, and so on
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Kyriakoudi, Anastasia, and Ioannis Mourtzinos. "Green Extraction Technology of Polyphenols from Food By-Products." Foods 11, no. 8 (2022): 1109. http://dx.doi.org/10.3390/foods11081109.

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The development of environmentally friendly approaches to produce high-added value compounds is a field of research that has attracted the interest of the scientific community and several industries such as the food and cosmetic industry [...]
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Tuomchomtam, Sarach, and Nuanwan Soonthornphisaj. "Demographics and Personality Discovery on Social Media: A Machine Learning Approach." Information 12, no. 9 (2021): 353. http://dx.doi.org/10.3390/info12090353.

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This research proposes a new feature extraction algorithm using aggregated user engagements on social media in order to achieve demographics and personality discovery tasks. Our proposed framework can discover seven essential attributes, including gender identity, age group, residential area, education level, political affiliation, religious belief, and personality type. Multiple feature sets are developed, including comment text, community activity, and hybrid features. Various machine learning algorithms are explored, such as support vector machines, random forest, multi-layer perceptron, an
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Menegon Bristot, Vilson, Gisele Da Silva Rezende da Rosa, Gilberto Tonetto, et al. "Desinent Socio-Environmental Conflict of Mineral Coal Extraction Liabilities in the Southern Carbonifera Region of Santa Catarina State." International Journal for Innovation Education and Research 8, no. 11 (2020): 178–97. http://dx.doi.org/10.31686/ijier.vol8.iss11.2736.

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The objective of this work was to analyze the socio-environmental conflict that develops in the community of Rio Carvão, in the municipality of Urussanga, in the south of the State of Santa Catarina. The conflict involves residents of the community and the company UM Urussanga Minérios Ltda. In the locality there are environmental liabilities arising from the activity of mining coal carried out in the past, currently the atmospheric pollution caused by the emission of gases from the processing of coal is directly impacting the lives of residents. The methodology used was based on historicity,
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Schaefer, Marie, Laura Schmitt Olabisi, Kristin Arola, et al. "Understanding Socio-Technological Systems Change through an Indigenous Community-Based Participatory Framework." Sustainability 13, no. 4 (2021): 2257. http://dx.doi.org/10.3390/su13042257.

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Moving toward a sustainable global society requires substantial change in both social and technological systems. This sustainability is dependent not only on addressing the environmental impacts of current social and technological systems, but also on addressing the social, economic and political harms that continue to be perpetuated through systematic forms of oppression and the exclusion of Black, Indigenous, and people of color (BIPOC) communities. To adequately identify and address these harms, we argue that scientists, practitioners, and communities need a transdisciplinary framework that
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Peter, Nedra, Lorie Donelle, Catherine George, and Anita Kothari. "Equity-informed social media COVID-19 risk communication strategies: a scoping review." BMJ Open 14, no. 8 (2024): e085630. http://dx.doi.org/10.1136/bmjopen-2024-085630.

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ObjectivesThe COVID-19 pandemic has had devastating worldwide impact but most prominent was its effect on marginalised, underserved and equity-deserving populations. Social media arose as an important platform from which health organisations could rapidly disseminate information to equity-deserving populations about COVID-19 risks and events, provide instructions on how to mitigate those risks, motivate compliance with health directives, address false information, provide the opportunity for engagement and immediate feedback. The objective of this scoping review was to synthesise the academic
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Schlüter, Maja, Alessandro Tavoni, and Simon Levin. "Robustness of norm-driven cooperation in the commons." Proceedings of the Royal Society B: Biological Sciences 283, no. 1822 (2016): 20152431. http://dx.doi.org/10.1098/rspb.2015.2431.

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Sustainable use of common-pool resources such as fish, water or forests depends on the cooperation of resource users that restrain their individual extraction to socially optimal levels. Empirical evidence has shown that under certain social and biophysical conditions, self-organized cooperation in the commons can evolve. Global change, however, may drastically alter these conditions. We assess the robustness of cooperation to environmental variability in a stylized model of a community that harvests a shared resource. Community members follow a norm of socially optimal resource extraction, wh
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Pradipta, IGNGA, Herdis Herdiansyah, and LG Saraswati Putri. "Balinese Way of Governing Water: A Social Survey on Water Governance." Jurnal Penelitian Pendidikan IPA 9, no. 7 (2023): 4983–90. http://dx.doi.org/10.29303/jppipa.v9i7.3679.

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The ever increasing human population demands more extraction of freshwater to fulfill our basic needs. This put more pressure to the already limited water resource. The previous studies about water governance concludes that local community needs to be actively involved in an integrated water resource management (IWRM) in order to maintain sustainability. Balinese has long been known as community which always preserve water due to their belief in their local wisdom. This article aims to investigate how Balinese local wisdom play its role in the water governance. The social survey study was cond
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Legate, Amanda, Kim Nimon, and Ashlee Noblin. "(Semi)automated approaches to data extraction for systematic reviews and meta-analyses in social sciences: A living review." F1000Research 13 (September 26, 2024): 664. http://dx.doi.org/10.12688/f1000research.151493.2.

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Background An abundance of rapidly accumulating scientific evidence presents novel opportunities for researchers and practitioners alike, yet such advantages are often overshadowed by resource demands associated with finding and aggregating a continually expanding body of scientific information. Data extraction activities associated with evidence synthesis have been described as time-consuming to the point of critically limiting the usefulness of research. Across social science disciplines, the use of automation technologies for timely and accurate knowledge synthesis can enhance research tran
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Legate, Amanda, Kim Nimon, and Ashlee Noblin. "(Semi)automated approaches to data extraction for systematic reviews and meta-analyses in social sciences: A living review." F1000Research 13 (June 20, 2024): 664. http://dx.doi.org/10.12688/f1000research.151493.1.

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Background An abundance of rapidly accumulating scientific evidence presents novel opportunities for researchers and practitioners alike, yet such advantages are often overshadowed by resource demands associated with finding and aggregating a continually expanding body of scientific information. Data extraction activities associated with evidence synthesis have been described as time-consuming to the point of critically limiting the usefulness of research. Across social science disciplines, the use of automation technologies for timely and accurate knowledge synthesis can enhance research tran
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Dekker, Niels, Tobias Kuhn, and Marieke van Erp. "Evaluating named entity recognition tools for extracting social networks from novels." PeerJ Computer Science 5 (April 18, 2019): e189. http://dx.doi.org/10.7717/peerj-cs.189.

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The analysis of literary works has experienced a surge in computer-assisted processing. To obtain insights into the community structures and social interactions portrayed in novels, the creation of social networks from novels has gained popularity. Many methods rely on identifying named entities and relations for the construction of these networks, but many of these tools are not specifically created for the literary domain. Furthermore, many of the studies on information extraction from literature typically focus on 19th and early 20th century source material. Because of this, it is unclear i
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Suganthi, R., and Dr K. Prabha. "An Adaptive Density Peak Clustering with Swarm Intelligence Algorithm for Detection of Overlapping Communities in Social Networks." Journal of Internet Services and Information Security 12, no. 4 (2022): 204–23. http://dx.doi.org/10.58346/jisis.2022.i4.015.

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Community identification is an important technique for the investigation of complex networks because it makes it possible to examine mesoscopic features that are often connected to the organisational and functional properties of the underlying networks. In social media, there are billions of vertices and a variety of connections, thus community identification is a widely acknowledged approach of addressing the problem of grouping users. However, traditional methods are insufficient because of this. For the purpose of analysing social networks, overlapping community identification is crucial. O
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McCosker, Anthony. "Social media work: reshaping organisational communications, extracting digital value." Media International Australia 163, no. 1 (2017): 122–36. http://dx.doi.org/10.1177/1329878x17693702.

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Social media platforms are associated with significant digital transformations but also carry some uncertainty for organisations seeking to capitalise on their affordances while developing new professional roles. This article explores the characteristics and contexts of social media work and the different approaches of organisations as they enter a second wave of application, moving beyond participation to data extraction within conditions of continuous connectivity and community management. The article uses hybrid methods: analysing job market data and in-depth interviews with 18 social media
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