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Influence and Behavior Analysis in Social Networks and Social Media

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Cover of 'Influence and Behavior Analysis in Social Networks and Social Media'

Table of Contents

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    Book Overview
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    Chapter 1 Social Network to Improve the Educational Experience with the Deployment of Different Learning Models
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    Chapter 2 Temporal Model of the Online Customer Review Helpfulness Prediction with Regression Methods
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    Chapter 3 Traits of Leaders in Movement Initiation: Classification and Identification
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    Chapter 4 Emotional Valence Shifts and User Behavior on Twitter, Facebook, and YouTube
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    Chapter 5 Diffusion Algorithms in Multimedia Social Networks: A Novel Model
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    Chapter 6 Detecting Canadian Internet Satisfaction by Analyzing Twitter Accounts of Shaw Communications
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    Chapter 7 Editing Behavior Analysis for Predicting Active and Inactive Users in Wikipedia
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    Chapter 8 Incentivized Social Sharing: Characteristics and Optimization
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    Chapter 9 Rumor Source Detection in Finite Graphs with Boundary Effects by Message-Passing Algorithms
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    Chapter 10 Robustness of Influence Maximization Against Non-adversarial Perturbations
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    Chapter 11 Analyzing Social Book Reading Behavior on Goodreads and How It Predicts Amazon Best Sellers
Attention for Chapter 9: Rumor Source Detection in Finite Graphs with Boundary Effects by Message-Passing Algorithms
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Chapter title
Rumor Source Detection in Finite Graphs with Boundary Effects by Message-Passing Algorithms
Chapter number 9
Book title
Influence and Behavior Analysis in Social Networks and Social Media
Published by
Springer, Cham, August 2018
DOI 10.1007/978-3-030-02592-2_9
Book ISBNs
978-3-03-002591-5, 978-3-03-002592-2
Authors

Pei-Duo Yu, Chee Wei Tan, Hung-Lin Fu, Yu, Pei-Duo, Tan, Chee Wei, Fu, Hung-Lin

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