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Mining directed social network from message board

Published:10 May 2005Publication History

ABSTRACT

In the paper, we present an approach to mining a directed social network from a message board on the Internet where vertices denote individuals and directed links denote the flow of influence. The influence is measured based on propagating terms among individuals via messages. The distance with respect to contextual similarity between individuals is acquired since the influence indicates the degree of their shared interest represented as terms.

References

  1. N. Matsumura. Topic Diffusion in a Community. Chance Discovery, pages 84--97. Springer Verlag, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  2. N. Matsumura, D. E. Goldberg, and X. Xlorà. Mining social networks from message boards. IlliGAL Report No. 2005001, 2005.Google ScholarGoogle Scholar

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  1. Mining directed social network from message board

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      • Published in

        cover image ACM Conferences
        WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web
        May 2005
        454 pages
        ISBN:1595930515
        DOI:10.1145/1062745

        Copyright © 2005 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 10 May 2005

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