Cross-Site Virtual Social Network Construction

Chenhao Xie, Deqing Yang, Jingrui He, Yanghua Xiao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Given the plethora of social networking sites, it can be difficult for users to browse too many sites and discover social friends. For example, for a new diabetes patient, how can s/he find the users with similar symptoms on different dedicated sites and form supporting groups with them? Since different sites may use different vocabularies, this problem is challenging to match users across different sites. To address it, in this paper, we present a tool to demonstrate how to construct a virtual social network across multiple social networking sites. Specifically, it uses bipartite graphs to represent the relation ships between users and their posts' keywords in each site, it bridges the gap between different vocabularies of different sites based on their semantic relatedness through concept-based interpretations, and it uses an efficient propagation algorithm to obtain the similarity between users from different sites, which can be used to construct the cross-site virtual social network.

Original languageEnglish (US)
Title of host publicationProceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
EditorsXindong Wu, Alexander Tuzhilin, Hui Xiong, Jennifer G. Dy, Charu Aggarwal, Zhi-Hua Zhou, Peng Cui
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1660-1663
Number of pages4
ISBN (Electronic)9781467384926
DOIs
StatePublished - Jan 29 2016
Externally publishedYes
Event15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 - Atlantic City, United States
Duration: Nov 14 2015Nov 17 2015

Publication series

NameProceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015

Other

Other15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
CountryUnited States
CityAtlantic City
Period11/14/1511/17/15

Keywords

  • Graph propagation
  • cross-site
  • semantic matching
  • virtual social network

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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  • Cite this

    Xie, C., Yang, D., He, J., & Xiao, Y. (2016). Cross-Site Virtual Social Network Construction. In X. Wu, A. Tuzhilin, H. Xiong, J. G. Dy, C. Aggarwal, Z-H. Zhou, & P. Cui (Eds.), Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 (pp. 1660-1663). [7395882] (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDMW.2015.98