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Microgroup Mining on TSina via Network Structure and User Attribute

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Advanced Data Mining and Applications (ADMA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7121))

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Abstract

In this paper, we focus on the problem of community detection on TSina: the most popular microblogging network in China. By characterizing the structure and content of microgroup (community) on TSina in detail, we reveal that different from ordinary social networks, the degree assortativity coefficients are negative on most microgroups. In addition, we find that users from the same microgroup likely exhibit some similar attributes (e.g., sharing many followers, tags and topics). Inspired by these new findings, we propose a united method for microgroup detection without losing the information of link structure and user attribute. First, the link direction is converted to the weight by giving higher value to the more surprising link, while attribute similarity between two users is measured by the Jaccard coefficient of common features like followers, tags, and topics. Then, above two factors are uniformly converted to the edge weight of a newly generated network. Finally, many frequently used community detection algorithms that support weighted network would be employed. Extensive experiments on real social networks show that the factors of link structure and user attribute play almost equally important roles in microgroup detection on TSina. Our newly proposed method significantly outperforms the traditional methods with average accuracy being improved by 25%, and the number of unrecognized users decreasing by about 75%.

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Author information

Authors and Affiliations

  1. National Digital Switching System Engineering and Technological Research Center, China

    Xiaobing Xiong, Gang Zhou & Yongzhong Huang

  2. State Key Lab of Software Development Environment, Beihang University, China

    Xiaobing Xiong, Xiang Niu & Ke Xu

Authors
  1. Xiaobing Xiong
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  2. Xiang Niu
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  3. Gang Zhou
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  4. Ke Xu
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  5. Yongzhong Huang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China

    Jie Tang  & Jianyong Wang  & 

  2. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China

    Irwin King

  3. Faculty of Engineering and Information Technology, University of Technology, 2007, Sydney, NSW, Australia

    Ling Chen

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© 2011 Springer-Verlag Berlin Heidelberg

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Xiong, X., Niu, X., Zhou, G., Xu, K., Huang, Y. (2011). Microgroup Mining on TSina via Network Structure and User Attribute. In: Tang, J., King, I., Chen, L., Wang, J. (eds) Advanced Data Mining and Applications. ADMA 2011. Lecture Notes in Computer Science(), vol 7121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25856-5_11

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  • DOI: https://doi.org/10.1007/978-3-642-25856-5_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25855-8

  • Online ISBN: 978-3-642-25856-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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