Influence and Behavior Analysis in Social Networks and Social Media (Lecture Notes in Social Networks) - Hardcover
Book 34 of 45: Lecture Notes in Social Networks
Synopsis
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.
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.
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From the Back Cover
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.
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.
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Influence and Behavior Analysis in Social Networks and Social Media (eng)
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Influence and Behavior Analysis in Social Networks and Social Media
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Buch. Condition: 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. Seller Inventory # 9783030025915
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Influence and Behavior Analysis in Social Networks and Social Media (Lecture Notes in Social Networks)
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Buch. Condition: 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. Seller Inventory # 9783030025915
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Buch. Condition: 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. Seller Inventory # 114469967
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Influence and Behavior Analysis in Social Networks and Social Media
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Buch. Condition: 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. Seller Inventory # 9783030025915
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