Overview
- 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
Part of the book series: Lecture Notes in Social Networks (LNSN)
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Table of contents (11 chapters)
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Front Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Influence and Behavior Analysis in Social Networks and Social Media
Editors: Mehmet Kaya, Reda Alhajj
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-030-02592-2
Publisher: Springer Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-02591-5Published: 19 January 2019
eBook ISBN: 978-3-030-02592-2Published: 11 December 2018
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: VI, 235
Number of Illustrations: 12 b/w illustrations, 84 illustrations in colour
Topics: Computational Social Sciences, Computer Appl. in Social and Behavioral Sciences, Consumer Behavior, Social Media