Relevant bibliographies by topics / Information-rich social networks

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Academic literature on the topic 'Information-rich social networks'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Information-rich social networks"

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Hu, Renjie, and Guangyu Zhang. "Structural Holes in Directed Fuzzy Social Networks." Journal of Applied Mathematics 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/452063.

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The structural holes have been a key issue in fuzzy social network analysis. For undirected fuzzy social networks where edges are just present or absent undirected fuzzy relation and have no more information attached, many structural holes measures have been presented, such as key fuzzy structural holes, general fuzzy structural holes, strong fuzzy structural holes, and weak fuzzy structural holes. There has been a growing need to design structural holes measures for directed fuzzy social networks, because directed fuzzy social networks where edges are attached by directed fuzzy relation would
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Qu, Zheng, Qingyao Jia, Chen Lyu, Jia Liu, Xiaoying Liu, and Kechen Zheng. "Detecting Fake Reviews with Generative Adversarial Networks for Mobile Social Networks." Security and Communication Networks 2022 (November 10, 2022): 1–11. http://dx.doi.org/10.1155/2022/1164125.

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With the growth of mobile social networks (MSNs), crowdsourced information could be used for recommendation to mobile users. However, it is quite vulnerable to Sybil attacks, where attackers post fake information or reviews to mislead users for business benefits. To address this problem, existing detection models mainly use graph-based techniques or extract features of users. However, these approaches either rely on strong assumptions or lack generalization. Therefore, we propose a novel Sybil detection model based on generative adversarial networks (GANs), which contains a feature extractor,
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Cheng, Yong. "Crowd-Sourcing Information Dissemination Based on Spatial Behavior and Social Networks." Mobile Information Systems 2021 (March 23, 2021): 1–16. http://dx.doi.org/10.1155/2021/6652740.

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In the context of today’s network era, rich social networks and convenient network communication make different individuals and groups interact and transmit information in more diversified ways, which also bring new dissemination in information of crowd-sourcing tasks. The paper analyzes mobile behavior characteristics of users from different perspectives, such as spatial activity behavior and location type preference, and constructs a user space mobile behavior model based on the physical world. At the same time, it analyzes the social influence of users in social networks and mode of informa
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Azzaz, Amina, Mimoun Malki, Zohra Slama, and Nassim Dennouni. "Social Information Retrieval using Linked Data and Deep Learning." Engineering, Technology & Applied Science Research 15, no. 3 (2025): 23360–66. https://doi.org/10.48084/etasr.10551.

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Online Social Networks (OSNs) are becoming increasingly important in business, government, and all areas of life. For-profit companies use them as rich sources of information and dynamic platforms to drive strategies in product design, innovation, relationship management, and marketing. However, analyzing and retrieving information from these platforms presents distinct challenges due to their inherent characteristics and dynamic nature. To address this, researchers have proposed various approaches for social information retrieval, ranging from term-based analysis to semantic-based methods. To
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Lai, Yi-Yu, Jennifer Neville, and Dan Goldwasser. "TransConv: Relationship Embedding in Social Networks." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4130–38. http://dx.doi.org/10.1609/aaai.v33i01.33014130.

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Representation learning (RL) for social networks facilitates real-world tasks such as visualization, link prediction and friend recommendation. Traditional knowledge graph embedding models learn continuous low-dimensional embedding of entities and relations. However, when applied to social networks, existing approaches do not consider the rich textual communications between users, which contains valuable information to describe social relationships. In this paper, we propose TransConv, a novel approach that incorporates textual interactions between pair of users to improve representation learn
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Kataev, M. Yu, and V. V. Orlova. "Social media event data analysis." Proceedings of Tomsk State University of Control Systems and Radioelectronics 23, no. 4 (2020): 71–77. http://dx.doi.org/10.21293/1818-0442-2020-23-4-71-77.

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Social media analysis has become ubiquitous at a quantitative and qualitative level due to the ability to study content from open social networks. This content is a rich source of data for the construction and analysis of the interaction of social network users when forming various groups, used not only for statistical calculations, social areas of analysis, but also in trade or for the development of recommendation systems. The large number of social media users results in a huge amount of unstructured data (by time, type of communication, type of message and geographic location). This articl
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Lerman, Kristina, and Rumi Ghosh. "Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks." Proceedings of the International AAAI Conference on Web and Social Media 4, no. 1 (2010): 90–97. http://dx.doi.org/10.1609/icwsm.v4i1.14021.

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Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous, and also given researchers access to massive quantities of data for empirical analysis. These data sets offer a rich source of evidence for studying dynamics of individual and group behavior, the structure of networks and global patterns of the flow of information on them. However, in most previous studies, the structure of the underlying networks was not d
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Tan, Shulong, Jiajun Bu, Chun Chen, Bin Xu, Can Wang, and Xiaofei He. "Using rich social media information for music recommendation via hypergraph model." ACM Transactions on Multimedia Computing, Communications, and Applications 7S, no. 1 (2011): 1–22. http://dx.doi.org/10.1145/2037676.2037679.

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Walter, Nathan, Sandra J. Ball-Rokeach, Yu Xu, and Garrett M. Broad. "Communication Ecologies: Analyzing Adoption of False Beliefs in an Information-Rich Environment." Science Communication 40, no. 5 (2018): 650–68. http://dx.doi.org/10.1177/1075547018793427.

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The continued fragmentation of information and the proliferation of communication resources necessitate a shift toward perspectives that situate communication practices in a multilevel ecosystem. The current article offers a method to map and analyze communication ecologies—defined as the networks of communication connections that individuals depend on in order to construct knowledge and achieve goals—as social networks. To demonstrate the potential of communication ecologies as an analytical tool in science communication, we report on the results of a feasibility study ( N = 654) in the conte
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Zenkovich, K., T. Zhylkybayev, S. Kaysanov, and T. Ustinova. "APPLYING SOCIAL MINING RESULTS FROM OPEN SOCIAL NETWORKS." Bulletin of Shakarim University. Technical Sciences 1, no. 2(14) (2024): 5–10. http://dx.doi.org/10.53360/2788-7995-2024-2(14)-1.

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TThe advent of web-based communities and social networking sites has resulted in a massive amount of social networking data that is embedded with rich sets of meaningful social media knowledge. Social network analysis and the study of social structures using networks and graph theory help to find a systematic method or process for studying social networks. The article reveals the concept of intellectual analysis of social networks. The key aspect of the article is the application of the results of social network analysis to various branches of human activity.Describes the benefits of using Soc
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Books on the topic "Information-rich social networks"

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Light, Ryan, and James Moody, eds. The Oxford Handbook of Social Networks. Oxford University Press, 2020. http://dx.doi.org/10.1093/oxfordhb/9780190251765.001.0001.

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Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and sub
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Venturelli, Shalini. Global Knowledge Society and Information Technology. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.204.

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The Global Knowledge Society is a broad interdisciplinary effort that emerged in the last decade of the twentieth century to probe the socioeconomic, technological, and geopolitical dimensions of knowledge production, growth, diffusion, and exploitation, in terms of impact on the development of societies worldwide. As a field of inquiry, the Global Knowledge Society encompasses all areas of social science including international relations, international communication, information technology, international development, and economics, as well as across the physical sciences and humanities. It al
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Thurner, Stefan, Peter Klimek, and Rudolf Hanel. Introduction to the Theory of Complex Systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198821939.001.0001.

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This book is a comprehensive introduction to quantitative approaches to complex adaptive systems. Practically all areas of life on this planet are constantly confronted with complex systems, be it ecosystems, societies, traffic, financial markets, opinion formation, epidemic spreading, or the internet and social media. Complex systems are systems composed of many elements that interact with each other, which makes them extremely rich dynamical systems showing a huge range of phenomena. Properties of complex systems that are of particular importance are their efficiency, robustness, resilience,
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Flanagin, Andrew, and Miriam J. Metzger. Digital Media and Perceptions of Source Credibility in Political Communication. Edited by Kate Kenski and Kathleen Hall Jamieson. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199793471.013.65.

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The rich research heritage on source credibility is fundamentally linked to processes of political communication and the provision of political information. Networked digital technologies, however, have recently complicated the assessment of source credibility by modifying people’s ability to determine source expertise and trustworthiness, which are the foundations upon which credibility evaluations have traditionally rested. This chapter explores source credibility in online contexts by examining the credibility of digital versus traditional channels, the nature of political information conve
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Di Paolo, Ezequiel, Thomas Buhrmann, and Xabier Barandiaran. Sensorimotor Life. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198786849.001.0001.

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This book elaborates a series of contributions to a non–representational theory of action and perception. It is based on current theoretical developments in the enactive approach to life and mind. These enactive ideas are applied and extended to provide a theoretically rich, naturalistic account of sensorimotor meaning and agency. This account supplies non–representational extensions to the sensorimotor approach to perceptual experience based on the notion of the living body as a self–organizing dynamic system in coupling with the environment. The enactive perspective entails the use of world–
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Book chapters on the topic "Information-rich social networks"

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Bonchi, Francesco, Francesco Gullo, and Andreas Kaltenbrunner. "Core Decomposition of Massive, Information-Rich Graphs." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_110176-1.

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Bonchi, Francesco, Francesco Gullo, and Andreas Kaltenbrunner. "Core Decomposition of Massive, Information-Rich Graphs." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_110176.

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Wen, Hao, Pengcheng Gu, Yuchao Zhang, Shuai Zou, and Patrik Schumacher. "A Generative Approach to Social Ecologies in Project [Symbios]City." In Proceedings of the 2021 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_2.

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AbstractThe following paper talks about the studio project [Symbios]City, which is developed as a design research project in 2020–2021 Schumacher’ studio on social ecology of the graduate program in Architectural Association’s design research lab. The project aims to create an assemblage of social ecologies through a rich but cohesive multi-authored urban district. The primary ambition is to generate an urban area with a characterful, varied identity, that achieves a balanced order between unity and difference avoiding both the sterile and disorienting monotony of centrally planned modernist c
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Sevelsted, Anders. "Moral Elites in the Danish Temperance Movement (1910–1919): Elite Struggles over Disease and Values." In Nonprofit and Civil Society Studies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98798-5_10.

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AbstractThe chapter maps out the elite of the early Danish temperance movement and shows how distinct moral elites within the movement interpreted the cause according to their respective value frames while integrating the emerging disease frame of alcoholism. Theoretically, it argues for introducing the thus far estranged perspectives of elite studies and framing approaches to each other. The concept of moral elite is consequently introduced and defined as an elite that is rich in the resources on which moral authority is built, here limited to educational resources, organizational resources,
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Pandey, Sunil Kr, and Vineet Kansal. "Social Media Analytics." In Data Mining in Dynamic Social Networks and Fuzzy Systems. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4213-3.ch010.

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Many popular online social networks such as Twitter, LinkedIn, and Facebook have become increasingly popular. In addition, a number of multimedia networks such as Flickr have also seen an increasing level of popularity in recent years. Many such social networks are extremely rich in content, and contain tremendous amount of content and linkage data which can be leveraged for analysis. The linkage data is essentially the graph structure of the social network and the communications between entities; whereas the content data contains the text, images and other multimedia data in the network. The
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Roth, Carla. "Informants and networks." In The Talk of the Town. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192846457.003.0003.

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This chapter exploits one of the most unique features of Johannes Rütiner’s Commentationes, namely the fact that Rütiner named his informants, their sources, and the context in which information was exchanged in over seventy per cent of his notebook entries. Combining these ‘references’ with evidence from St Gall’s rich archives, the chapter offers a reconstruction of Rütiner’s information network and outlines its social and geographical dimensions. The chapter argues that even educated St Gallers like Rütiner relied heavily on their personal, and overwhelmingly oral, networks to supply them w
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Matsiola, Maria, Charalampos Dimoulas, George Kalliris, and Andreas A. Veglis. "Augmenting User Interaction Experience Through Embedded Multimodal Media Agents in Social Networks." In Information Retrieval and Management. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5191-1.ch088.

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The current chapter proposes media agent and multi-agent models aiming at improving mediated communication and information exchange in social networking. Great progress has been conducted during the last decades in Information and Communication Technologies, which is also reflected in social media. The proposed models exploit the latest media technologies for the augmentation of user-interaction and contribution experience in multiple levels. Features of the suggested agent and multi-agent approaches are discussed and elaborated through the prism of social computing, social media analytics and
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Bao, Yiqin, Wenbin Xu, and Lei Wang. "Design and Implementation on Citation Network Link Prediction System Based on GAT." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia231258.

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Link prediction has important practical value in many fields, such as social networks, bioinformatics, citation networks, etc. However, existing link prediction methods mainly have two major problems: firstly, they neglect the attribute information of nodes or edges, which limits the accuracy and robustness of prediction; Secondly, when dealing with large-scale complex networks, especially those with rich attribute information, their performance still needs to be improved. To address these issues, the paper designs a citation network link prediction system based on Graph Attention Network (GAT
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Camillo, Angelo A., and Loredana Di Pietro. "Social Media and its Effect on Consumer Loyalty." In Handbook of Research on Effective Marketing in Contemporary Globalism. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6220-9.ch012.

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Due to the increasing number of users and powerful Web-based tools available today on social networks such as Facebook, enterprises are strategically focusing on the marketing opportunities provided by social media. In fact, presence on a social network such as Facebook can provide the firm with a mechanism for gathering consumer information quickly on a wider segment of the population. This chapter investigates the effectiveness of the firm's presence on social networks and their effect on the firm and the consumer. It attempts to identify a possible linkage between a firm's presence on a soc
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Matsiola, Maria, Charalampos Dimoulas, George Kalliris, and Andreas A. Veglis. "Augmenting User Interaction Experience through Embedded Multimodal Media Agents in Social Networks." In Social Media and the Transformation of Interaction in Society. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8556-7.ch010.

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The current chapter proposes media agent and multi-agent models aiming at improving mediated communication and information exchange in social networking. Great progress has been conducted during the last decades in Information and Communication Technologies, which is also reflected in social media. The proposed models exploit the latest media technologies for the augmentation of user-interaction and contribution experience in multiple levels. Features of the suggested agent and multi-agent approaches are discussed and elaborated through the prism of social computing, social media analytics and
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Conference papers on the topic "Information-rich social networks"

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Zhang, Daokun, Jie Yin, Xingquan Zhu, and Chengqi Zhang. "User Profile Preserving Social Network Embedding." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/472.

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This paper addresses social network embedding, which aims to embed social network nodes, including user profile information, into a latent low-dimensional space. Most of the existing works on network embedding only consider network structure, but ignore user-generated content that could be potentially helpful in learning a better joint network representation. Different from rich node content in citation networks, user profile information in social networks is useful but noisy, sparse, and incomplete. To properly utilize this information, we propose a new algorithm called User Profile Preservin
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Pereira, Fabiola S. F., Gina M. B. Oliveira, and João Gama. "User Preference Dynamics on Evolving Social Networks - Learning, Modeling and Prediction." In XXV Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/webmedia_estendido.2019.8129.

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The preferences adopted by individuals are constantly modified as these are driven by new experiences, natural life evolution and, mainly, influence from friends. Studying these temporal dynamics of user preferences has become increasingly important for personalization tasks. Online social networks contain rich information about social interactions and relations, becoming essential source of knowledge for the understanding of user preferences evolution. In this thesis, we investigate the interplay between user preferences and social networks over time. We use temporal networks to analyze the e
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Gavino, Phillip A. O., Yinshuang Xiao, Yaxin Cui, Wei Chen, and Zhenghui Sha. "Evolutionary Co-Mention Network Analysis via Social Media Mining." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-115114.

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Abstract The immense volume of user-generated content on social media provides a rich data source for big data research. Comentioned entities in social media content offer valuable information that can support a broad range of studies, from product market competition to dynamic social network mining and modeling. This paper introduces a new approach that combines named entity recognition (NER) and network modeling to extract and analyze co-mention relationships among entities in the same domain from unstructured social media data. This approach contributes to design for market systems literatu
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Wu, Yongji, Defu Lian, Shuowei Jin, and Enhong Chen. "Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/541.

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Inferring social relations from user trajectory data is of great value in real-world applications such as friend recommendation and ride-sharing. Most existing methods predict relationship based on a pairwise approach using some hand-crafted features or rely on a simple skip-gram based model to learn embeddings on graphs. Using hand-crafted features often fails to capture the complex dynamics in human social relations, while the graph embedding based methods only use random walks to propagate information and cannot incorporate external semantic data provided. We propose a novel model that util
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Li, Jundong, Harsh Dani, Xia Hu, and Huan Liu. "Radar: Residual Analysis for Anomaly Detection in Attributed Networks." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/299.

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Attributed networks are pervasive in different domains, ranging from social networks, gene regulatory networks to financial transaction networks. This kind of rich network representation presents challenges for anomaly detection due to the heterogeneity of two data representations. A vast majority of existing algorithms assume certain properties of anomalies are given a prior. Since various types of anomalies in real-world attributed networks co-exist, the assumption that priori knowledge regarding anomalies is available does not hold. In this paper, we investigate the problem of anomaly detec
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Manžuch, Zinaida, and Elena Maceviciute. "A life goals perspective on the information behaviour of elderly adults." In ISIC: the Information Behaviour Conference. University of Borås, Borås, Sweden, 2020. http://dx.doi.org/10.47989/irisic2005.

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Introduction. The paper offers a Socioemotional Selectivity Theory (SST) perspective on the information behaviour of the elderly. It goes beyond biological aging and could usefully explain motives, preferences, influential factors in their information behaviour. Method. A thematic meta-analysis was performed to study the research on the information behaviour of the elderly adults published over the last decade (2010-2019). Analysis. The analysis is focused on manifestations of emotional regulation aimed at information behaviour (needs and motives, information seeking and use) of the elderly. R
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Tuarob, Suppawong, and Conrad S. Tucker. "Discovering Next Generation Product Innovations by Identifying Lead User Preferences Expressed Through Large Scale Social Media Data." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34767.

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An innovative consumer (a.k.a. a lead user) is a consumer of a product that faces needs unknown to the public. Innovative consumers play important roles in the product development process as their ideas tend to be innovatively unique and can be potentially useful for development of next generation, innovative products that better satisfy the market needs. Oftentimes, consumers portray their usage experience and opinions about products and product features through social networks such as Twitter and Facebook, making social media a viable, rich in information, and large-scale source for mining p
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Archvadze, Joseph, and Lia Kurkhuli. "Black and White Shades of Social Network: Political-Economic and Psychological Aspects." In V National Scientific Conference. Grigol Robakidze University, 2023. http://dx.doi.org/10.55896/978-9941-8-5764-5/2023-132-142.

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The introduction of social networks (Facebook, Twitter, google+, Instagram, Youtube, Whatsapp, Tik Tok, Linkedin, etc.) is the largest transition in the history of mankind, in terms of dissemination of information since Gutenberg began printing. Its "passing pawns" are efficiency, mass character and instantaneous distribution. The behavior of people and their relationships social networks took on a strong "boarding". Before our eyes, a process is taking place when an increasing part of the population is changing the "Party of the TV" to the "Party of the Internet." Social networks have signifi
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Zitmane, Marita. "Gender Equality Topics on the Social Media Platform Twitter in 2021." In International scientific conference of the University of Latvia. University of Latvia Press, 2023. http://dx.doi.org/10.22364/ms22.18.

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Social media has become an important part of the agenda-setting process. Digital platforms have reduced the role of traditional media in agenda-setting and have also expanded the range of agenda-setting actors. Social media provides a platform for public debate about social norms, creates a platform for further revision of norms, promoting awareness of the advantages and disadvantages of current laws and rights. Statistical data on the usage habits of social network platforms in Latvia show that the society is active in using social networks. In Latvia, social media platforms and blogs are the
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Visan, Andreea maria, and Bogdan Logofatu. "TEACHING, LEARNING AND SHARING. CASE STUDY REGARDING THE USE OF SOCIAL MEDIA FOR COURSE ENHANCEMENT." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-157.

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If we look in the past at the evolution of society and education, we can resume that for generation the access to education was available just for some classes of the society and that there were relevant differences between poor and rich countries. Those times had changed, society has evaluated and the development of the new technologies had provided the path to a new revolution. Today we are facing a new challenge: the globalization of education. Teachers, students and administrative staff from all educational institutes must respond with solutions to all new situations because, when we are f
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Reports on the topic "Information-rich social networks"

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Ganon, Rebecca, and Julie Kos. Student Disability Collectives in Australian Universities: A Desktop Review. Journal of the Australian and New Zealand Student Services Association, 2025. https://doi.org/10.30688/janzssa.2025-1-06.

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Student disability collectives (SDCs) are student-led groups which offer representation, social networks, and resources to university students with disability. They are run independently from the university administration. For the first time in published literature, this study has centralised and recorded information relating to the prevalence, nature, and function of SDCs. Desktop research targeting publicly available information about the prevalence, nature, and function of SDCs was undertaken to reveal a rich ecosystem of SDCs across up to 25 Australian universities. This study provides a f
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