This timely book focuses on influence and behavior analysis in the broader context of social network applications and social media. Twitter accounts of telecommunications companies are analyzed. Rumor sources in finite graphs with boundary effects by message-passing algorithms are identified.
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This timely book focuses on influence and behavior analysis in the broader context of social network applications and social media. Twitter accounts of telecommunications companies are analyzed. Rumor sources in finite graphs with boundary effects by message-passing algorithms are identified.
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Buch. Zustand: Neu. Neuware -This timely book focuses on influence and behavior analysisin the broader context of social network applications and social media. Twitter accounts of telecommunications companies are analyzed. Rumor sources in finite graphs with boundary effects by message-passing algorithms are identified.The coherent, state-of-the-art collection of chapters was initially selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. Original chapters coming from outside of the meeting round out the coverage. The result will appeal to researchers and students working in social network and social media analysis. 244 pp. Englisch. Bestandsnummer des Verkäufers 9783030025915
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Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes behavior analysis data for predicting active and inactive users in WikipediaContains book reading behavior data on Goodreads and how it can predict Amazon Best Sellers Ties into discussions of social media misuse for ta. Bestandsnummer des Verkäufers 244074870
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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This timely book focuses on influence and behavior analysis in the broader context of social network applications and social media. Twitter accounts of telecommunications companies are analyzed. Rumor sources in finite graphs with boundary effects by message-passing algorithms are identified.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch. Bestandsnummer des Verkäufers 9783030025915
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Buch. Zustand: Neu. Influence and Behavior Analysis in Social Networks and Social Media | Mehmet Kaya (u. a.) | Buch | Lecture Notes in Social Networks | vi | Englisch | 2019 | Springer | EAN 9783030025915 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 114469967
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This timely book focuses on influence and behavior analysisin the broader context of social network applications and social media. Twitter accounts of telecommunications companies are analyzed. Rumor sources in finite graphs with boundary effects by message-passing algorithms are identified.The coherent, state-of-the-art collection of chapters was initially selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. Original chapters coming from outside of the meeting round out the coverage. The result will appeal to researchers and students working in social network and social media analysis. Bestandsnummer des Verkäufers 9783030025915
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