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Prediction and Inference from Social Networks and Social Media

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Cover of 'Prediction and Inference from Social Networks and Social Media'

Table of Contents

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    Book Overview
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    Chapter 1 Having Fun?: Personalized Activity-Based Mood Prediction in Social Media
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    Chapter 2 Automatic Medical Image Multilingual Indexation Through a Medical Social Network
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    Chapter 3 The Significant Effect of Overlapping Community Structures in Signed Social Networks
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    Chapter 4 Extracting Relations Between Symptoms by Age-Frame Based Link Prediction
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    Chapter 5 Link Prediction by Network Analysis
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    Chapter 6 Structure-Based Features for Predicting the Quality of Articles in Wikipedia
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    Chapter 7 Predicting Collective Action from Micro-Blog Data
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    Chapter 8 Discovery of Structural and Temporal Patterns in MOOC Discussion Forums
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    Chapter 9 Diffusion Process in a Multi-Dimension Networks: Generating, Modelling, and Simulation
Attention for Chapter 6: Structure-Based Features for Predicting the Quality of Articles in Wikipedia
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Chapter title
Structure-Based Features for Predicting the Quality of Articles in Wikipedia
Chapter number 6
Book title
Prediction and Inference from Social Networks and Social Media
Published by
Springer International Publishing, March 2017
DOI 10.1007/978-3-319-51049-1_6
Book ISBNs
978-3-31-951048-4, 978-3-31-951049-1
Authors

Baptiste de La Robertie, Yoann Pitarch, Olivier Teste

Editors

Jalal Kawash, Nitin Agarwal, Tansel Özyer

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