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2014 | OriginalPaper | Chapter

Exploring Community Structures by Comparing Group Characteristics

Authors : Guanling Lee, Chia-Jung Chang, Sheng-Lung Peng

Published in: Advanced Technologies, Embedded and Multimedia for Human-centric Computing

Publisher: Springer Netherlands

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Abstract

In recent years, more and more researchers devoted to identifying community structure in social networks. The characteristics of the social network are analyzed by clustering the social network users according to user’s relationships. However, the users of current popular social networks such as LiveJournal and Flickr, can join to or create the communities according to their interests. Instead of grouping the users according to the cluster strategies which are wildly used in previous works, the purpose of the paper is to explore the structures and characteristics of the social networks according to the community the users actually joined. Moreover, we experiment on four real datasets, LiveJournal, Flickr, Orkut and Youtube, to analyze the characteristics hidden behind the social networks.

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Metadata
Title
Exploring Community Structures by Comparing Group Characteristics
Authors
Guanling Lee
Chia-Jung Chang
Sheng-Lung Peng
Copyright Year
2014
Publisher
Springer Netherlands
Book
Advanced Technologies, Embedded and Multimedia for Human-centric Computing

Print ISBN: 978-94-007-7261-8

Electronic ISBN: 978-94-007-7262-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-94-007-7262-5_16