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Influence and Behavior Analysis in Social Networks and Social Media de Mehmet Kaya

Influence and Behavior Analysis in Social Networks and Social Media: Lecture Notes in Social Networks

Editat de Mehmet Kaya, Reda Alhajj
en Limba Engleză Hardback – 19 ian 2019
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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Specificații

ISBN-13: 9783030025915
ISBN-10: 3030025918
Pagini: 171
Ilustrații: VI, 235 p. 96 illus., 84 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.54 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Social Networks

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Includes behavior analysis data for predicting active and inactive users in Wikipedia Contains book reading behavior data on Goodreads and how it can predict 'Amazon Best Sellers' Ties into discussions of social media misuse for targeted manipulations