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Design of Instruction Analyzer with Semantic-Based Loop Unrolling Mechanism in the Hyperscalar Architecture Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Multi-view Community Detection in Facebook Public Pages

Authors : Zhige Xin, Chun-Ming Lai, Jon W. Chapman, George Barnett, S. Felix Wu

Published in: New Trends in Computer Technologies and Applications

Publisher: Springer Singapore

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Abstract

Community detection in social networks is widely studied because of its importance in uncovering how people connect and interact. However, little attention has been given to community structure in Facebook public pages. In this study, we investigate the community detection problem in Facebook newsgroup pages. In particular, to deal with the diversity of user activities, we apply multi-view clustering to integrate different views, for example, likes on posts and likes on comments. In this study, we explore the community structure in Facebook public pages. The results show that our method can effectively reduce isolates and improve the quality of community structure.

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Metadata
Title
Multi-view Community Detection in Facebook Public Pages
Authors
Zhige Xin
Chun-Ming Lai
Jon W. Chapman
George Barnett
S. Felix Wu
Copyright Year
2019
Publisher
Springer Singapore
Book
New Trends in Computer Technologies and Applications

Print ISBN: 978-981-13-9189-7

Electronic ISBN: 978-981-13-9190-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-9190-3_12

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