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Social network mining based on improved vector space model

Published: 30 December 2010 Publication History

Abstract

We employ a method to mine social networks of person entities from Wikipedia in this paper. A person entity is represented as a vector by anchor text set and content text set of his page in Wikipedia using Improved Vector Space Model (IVSM). We use cosine similarity of the vectors to present the similarity of person entities, and at last we get the similarity array of all the person entities. Finally, we extract the social network from the array which shows the relations of person entities. On Wikipedia data, we conduct some experiments on social network analysis, and the experimental results show our social network mining approaches are effective.

References

[1]
M. E. J. Newman, The Structure of Scientific Collaboration Networks, Proceedings of the National Academy of Science. 2001, 98(2):404~409.
[2]
H. Kautz, B. Selman, and M. Shah. The hidden Web. AI magazine, 1997, 18(2):27--35.
[3]
P. Mika. Flink: Semantic web technology for extraction and analysis of social network. Journal of Web Semantics, 2005, 3(2).
[4]
M. Harada. Sh. Sato, and K. Kazama. Finding authoritative people from the web. In Proc. Joint Conference on Digital Libraries(JCDL 2004), 2004.
[5]
P. Knees, E. Pampalk, and G. Widmer. Artist classification with web-based data. In 5th International Conf. on Music Information Retrieval (ISMIR), 2004.
[6]
S. Wasserman, K. Faust. Social Network Analysis: Methods and Applications. Cambridge University Press, 1994:169~215.
[7]
Hodgson J. Do HTML Tags Flag Semantic Content? IEEE Internet Computing, 2001, 5(1):20--25.
[8]
Baoli Dong, Guoning Hao, Xinjian Gu. Specific website subject recognition based on the hybrid vector space model. J Tsinghua Univ (Sci&Tech), 2005.
[9]
Mark Huisman, Marijtje A. J. van Duijn. Software for Social Network Analysis. 2003
[10]
Girvan M, Newman Me J. Community structure in social and biological networks{J}. Proc Natl Acad Sci, 2001, 98:404--409. Newman ME J. Girvan M Finding and evaluating community structure in networks. 2004.

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Published In

cover image ACM Other conferences
ICIMCS '10: Proceedings of the Second International Conference on Internet Multimedia Computing and Service
December 2010
218 pages
ISBN:9781450304603
DOI:10.1145/1937728
  • General Chairs:
  • Yong Rui,
  • Klara Nahrstedt,
  • Xiaofei Xu,
  • Program Chairs:
  • Hongxun Yao,
  • Shuqiang Jiang,
  • Jian Cheng
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 December 2010

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Author Tags

  1. Wikipedia
  2. anchor text
  3. improved vector space model
  4. social network

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ICIMCS '10

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Overall Acceptance Rate 163 of 456 submissions, 36%

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