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Cyberspace Community Analysis and Simulation Using Complex Dynamic Social Networks

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Intelligence and Security Informatics (WISI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3917))

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Abstract

Social network analysis (SNA) is the study of social relations among a set of actors. It is an emerging discipline that maps and measures the relationships between people, groups, organizations, computers or other information processing entities. SNA has been widely applied into many areas [1-3].

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References

  1. Chen, H., Wang, F.-Y.: Artificial Intelligence for Homeland Security. IEEE Intelligent Systems 20(5), 12–16 (2005)

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Author information

Authors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing, 100080, China

    Baihua Xiao, Huiguang He, Yaodong Li & Chunheng Wang

Authors
  1. Baihua Xiao
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  2. Huiguang He
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  3. Yaodong Li
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  4. Chunheng Wang
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Editor information

Editors and Affiliations

  1. Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA

    Hsinchun Chen

  2. Chinese Academy of Sciences, 100190, Beijing, China

    Fei-Yue Wang

  3. Drexel University, 19104, Philadelphia, PA, USA

    Christopher C. Yang

  4. MIS Department, University of Arizona, and Chinese Academy of Sciences, Tucson, AZ, USA

    Daniel Zeng

  5. The University of Hong Kong, Hong Kong, China

    Michael Chau

  6. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Kuiyu Chang

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© 2006 Springer-Verlag Berlin Heidelberg

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Xiao, B., He, H., Li, Y., Wang, C. (2006). Cyberspace Community Analysis and Simulation Using Complex Dynamic Social Networks. In: Chen, H., Wang, FY., Yang, C.C., Zeng, D., Chau, M., Chang, K. (eds) Intelligence and Security Informatics. WISI 2006. Lecture Notes in Computer Science, vol 3917. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11734628_30

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  • DOI: https://doi.org/10.1007/11734628_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33361-6

  • Online ISBN: 978-3-540-33362-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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