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Titlebook: Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining; Nitin Agarwal,Nima Dokoohaki,Serpil To

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书目名称Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining
编辑Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir
视频videohttp://file.papertrans.cn/309/308345/308345.mp4
概述Illuminates several fundamental and powerful yet theoretically obscure aspects of computational social network analysis.Serves as a comprehensive reference for anyone interested in newer ICTs, examini
丛书名称Lecture Notes in Social Networks
图书封面Titlebook: Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining;  Nitin Agarwal,Nima Dokoohaki,Serpil To
描述.The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. ..Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technolog
出版日期Book 2019
关键词Visualizing Hierarchy in Multivariate Data; Network Approach to Framing Processes; Geographical Topics
版次1
doihttps://doi.org/10.1007/978-3-319-94105-9
isbn_softcover978-3-030-06797-7
isbn_ebook978-3-319-94105-9Series ISSN 2190-5428 Series E-ISSN 2190-5436
issn_series 2190-5428
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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978-3-030-06797-7Springer International Publishing AG, part of Springer Nature 2019
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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining978-3-319-94105-9Series ISSN 2190-5428 Series E-ISSN 2190-5436
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,Bluetooth auf den Zahn gefühlt,cial media platforms often offer help and emotional support to others (the good), they also spam (the bad) and harass others as well as even manipulate others via fake news (the ugly). In order to both leverage the positive effects and mitigate the negative effects of using social media, intent mini
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Network Infrastructure Securityial media data, they are insufficient to identify and characterize social influence bots, the networks in which they reside and their behavior. However, these bots can be identified, their prevalence assessed, and their impact on groups assessed using high dimensional network analytics. This is illu
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Fundamentals of the J Programming Language, local topological features of a network. This is relevant, for example, when fitting a random graph model to a real-world network. With respect to existing measures the model might look like a good fit, however, the local topology might be very different. In the article we propose a new characteriz
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