Influence and behavior analysis in social networks and social media
Author(s)
Bibliographic Information
Influence and behavior analysis in social networks and social media
(Lecture notes in social networks)
Springer Nature, c2019
Available at 3 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
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  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
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  France
  Belgium
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  United States of America
Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of Contents
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.
by "Nielsen BookData"