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Mining Lurkers in Online Social Networks: Principles, Models, and Computational Methods (SpringerBriefs in Computer Science)
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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining (Lecture Notes in Social Networks)
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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining (Lecture Notes in Social Networks)
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Mining Lurkers in Online Social Networks : Principles, Models, and Computational Methods
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Mining and Analyzing Social Networks 288 Studies in Computational Intelligence
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Mining Lurkers in Online Social Networks : Principles, Models, and Computational Methods
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3030002284 ISBN 13: 9783030002282
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This SpringerBrief brings order to the wealth of research studies thatcontribute to shape our understanding of on-line social networks(OSNs) lurking phenomena. This brief also drives the development ofcomputational approaches that can be effectively applied to answerquestions related to lurking behaviors, as well as to the engagement oflurkers in OSNs.All large-scale online social networks (OSNs) are characterized by aparticipation inequality principle, i.e., the crowd of an OSN does notactively contribute, rather it takes on a silent role. Silent users are alsoreferred to as lurkers, since they gain benefit from others' informationwithout significantly giving back to the community. Nevertheless, lurkersacquire knowledge from the OSN, therefore a major goal is to encouragethem to more actively participate.Lurking behavior analysis has been long studied in social science andhuman-computer interaction fields, but it has also matured over the lastfew years in social network analysis and mining.While the main target audience corresponds to computer, network, andweb data scientists, this brief might also help increase the visibility of thetopic by bridging different closely related research fields. Practitioners, researchersand students interested in social networks, web search, data mining,computational social science and human-computerinteraction will also find this brief useful research material .
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Mining Lurkers in Online Social Networks : Principles, Models, and Computational Methods
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Mining Lurkers in Online Social Networks: Principles, Models, and Computational Methods
Published by Springer-Verlag New York Inc, 2018
ISBN 10: 3030002284 ISBN 13: 9783030002282
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut - Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2012 | Seiten: 400 | Sprache: Englisch | Produktart: Bücher.
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Mining and Analyzing Social Networks (Studies in Computational Intelligence, 288)
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Computational Social Networks: Mining and Visualization
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Mining and Analyzing Social Networks (Studies in Computational Intelligence, 288)
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Computational Social Networks: Mining and Visualization
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Computational Social Networks : Mining and Visualization
Published by Springer London, Springer London, 2014
ISBN 10: 1447162374 ISBN 13: 9781447162377
Language: English
US$ 129.61
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications , and Security and Privacy in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.
