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Social network mining based on Improved Vector Space Model

  • Fangfang Yang*
  • , Zhiming Xu
  • , Sheng Li
  • , Xiukun Li
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10
Pages118-121
Number of pages4
DOIs
StatePublished - 2010
Event2nd International Conference on Internet Multimedia Computing and Service, ICIMCS 2010 - Harbin, China
Duration: 30 Dec 201031 Dec 2010

Publication series

NameProceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10

Conference

Conference2nd International Conference on Internet Multimedia Computing and Service, ICIMCS 2010
Country/TerritoryChina
CityHarbin
Period30/12/1031/12/10

Keywords

  • Anchor text
  • Improved Vector Space Model
  • Social network
  • Wikipedia

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