Influence and Behavior Analysis in Social Networks and Social Media (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
235
Utgivningsdatum
2019-01-19
Upplaga
1st ed. 2019
Förlag
Springer Nature Switzerland AG
Medarbetare
Kaya, Mehmet (ed.), Alhajj, Reda (ed.)
Illustratör/Fotograf
35 farbige Tabellen 35 schwarz-weiße und 35 farbige Abbildungen Bibliographie
Illustrationer
84 Illustrations, color; 12 Illustrations, black and white; VI, 235 p. 96 illus., 84 illus. in color
Dimensioner
236 x 218 x 15 mm
Vikt
545 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9783030025915

Influence and Behavior Analysis in Social Networks and Social Media

Inbunden,  Engelska, 2019-01-19
825
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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. 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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Innehållsförteckning

Social network to improve the educational experience with the deployment of different learning models.- Temporal Model of the Online Customer Review Helpfulness Prediction with Regression Methods.- Traits of Leaders in Movement Initiation:Classification and Identification.- Emotional Valence Shifts and User Behavior on Twitter, Facebook, and YouTube.- Diffusion Algorithms in Multimedia Social Networks: a novel model.- Analyzing Twitter Accounts of Shaw Communications.- Editing Behavior Analysis for Predicting Active and Inactive Users in Wikipedia.- Incentivized Social Sharing: Characteristics and Optimization.- Rumor Source Detection in Finite Graphs with Boundary Effects by Message-passing Algorithms.- Robustness of Influence Maximization against Non-Adversarial Perturbations.- Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers.