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Computational Social Networks Mining (41 results)
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Hardcover. Condition: As New. Appears to be unused. Orphans Treasure Box sells books to raise money for orphans and vulnerable kids.
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Mining Lurkers in Online Social Networks: Principles, Models, and Computational Methods (SpringerBriefs in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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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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Add to basketHardcover. Condition: Fine. No Jacket. - Clean bright tight book w/ minor shelf wear only - x/278 pages.
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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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£ 47.33
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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
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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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 basketPaperback. Condition: Brand New. 100 pages. 9.00x6.00x0.25 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 290 pages. 9.25x6.10x0.79 inches. In Stock.
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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
£ 47.90
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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 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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£ 83
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Computational Social Networks : Mining and Visualization
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Computational Social Networks : Mining and Visualization
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