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
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.

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