Isbn: 9783030002282 - mining lurkers in online social networks: principles, models, and computational methods (18 risultati)

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Taschenbuch. Condizione: 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 .…

Taschenbuch. Condizione: Neu. Mining Lurkers in Online Social Networks | Principles, Models, and Computational Methods | Andrea Tagarelli (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | vi | Englisch | 2018 | Springer | EAN 9783030002282 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 . 100 pp. Englisch.…

Condizione: New. Print on Demand pp. 88.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book to discuss the lurking behavior phenomenon in online social networks under both social science and computational perspectivesIt provides detailed descriptions of computational approaches that enable understanding and mining of lurking b.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This SpringerBrief brings order to the wealth of research studies that contribute to shape our understanding of on-line social networks (OSNs) lurking phenomena. This brief also drives the development of computational approaches that can be effectively applied to answer questions related to lurking behaviors, as well as to the engagement of lurkers in OSNs. All large-scale online social networks (OSNs) are characterized by a participation inequality principle, i.e., the crowd of an OSN does not actively contribute, rather it takes on a silent role. Silent users are also referred to as lurkers, since they gain benefit from others' information without significantly giving back to the community. Nevertheless, lurkers acquire knowledge from the OSN, therefore a major goal is to encourage them to more actively participate.Lurking behavior analysis has been long studied in social science and human-computer interaction fields, but it has also matured over the last few years in social network analysis and mining.While the main target audience corresponds to computer, network, and web data scientists, this brief might also help increase the visibility of the topic by bridging different closely related research fields. Practitioners, researchers and students interested in social networks, web search, data mining, computational social science and human-computer interaction will also find this brief useful research material .Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 100 pp. Englisch.…