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The Recognition of Multiple Virtual Identities Association Based on Multi-agent System

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Agents and Data Mining Interaction (ADMI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8316))

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Abstract

The recognition of multiple virtual identities association has aroused extensive attention, which can be widely used in author identification, forum spammer detection and other fields. We focus on the features of authors behavior on the dynamic data. This paper applies multi-agent system to the authors information mining fields and proposes a recognition model based on multi-agent system: MVIA-MAS. We cluster the author information in each time slice in parallel and then use association rule mining to find the target author groups, in which the multiple virtual identities are considered associated. Experiments show that the model has a better overall performance.

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Acknowledgements

We warmly thank Wentang Tan for his guidance. This work was funded under National Science and Technology Support Program (NO.2012BAH08B01).

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Authors and Affiliations

  1. Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China

    Le Li, Weidong Xiao, Changhua Dai, Junyi Xu & Bin Ge

Authors
  1. Le Li
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  2. Weidong Xiao
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  3. Changhua Dai
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  4. Junyi Xu
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  5. Bin Ge
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Corresponding author

Correspondence to Le Li .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Sydney, New South Wales, Australia

    Longbing Cao

  2. Teesside University, Middlesbrough, United Kingdom

    Yifeng Zeng

  3. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Andreas L. Symeonidis

  4. St. Petersburg Institute for Informatics, St. Petersburg, Russia

    Vladimir Gorodetsky

  5. Department of Informatics, Technische Universität Clausthal, Clausthal-Zellerfeld, Germany

    Jörg P. Müller

  6. University of Illinois Chicago, Chicago, Illinois, USA

    Philip S. Yu

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Li, L., Xiao, W., Dai, C., Xu, J., Ge, B. (2014). The Recognition of Multiple Virtual Identities Association Based on Multi-agent System. In: Cao, L., Zeng, Y., Symeonidis, A., Gorodetsky, V., Müller, J., Yu, P. (eds) Agents and Data Mining Interaction. ADMI 2013. Lecture Notes in Computer Science(), vol 8316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55192-5_4

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  • DOI: https://doi.org/10.1007/978-3-642-55192-5_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55191-8

  • Online ISBN: 978-3-642-55192-5

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