Influence and Behavior Analysis in Social Networks and Social Media

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 co...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kaya, Mehmet (Editor), Alhajj, Reda (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Lecture Notes in Social Networks,
Subjects:
Sociology > Methodology.
Social sciences > Data processing.
Consumer behavior.
Social media.
Sociological Methods.
Computer Application in Social and Behavioral Sciences.
Consumer Behavior.
Social Media.
Online Access:Full-text access
Description
Summary: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.
Physical Description:VI, 235 p. 96 illus., 84 illus. in color. online resource.
ISBN:9783030025922
ISSN:2190-5436
DOI:10.1007/978-3-030-02592-2

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