Empirical analysis and multiple level views in massive social networks

  • Ye Q
  • Wu B
  • Gao Y
 et al. 
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Abstract

With the emergence of massive social media, massive social networks have led to a huge interest in data analysis. In this paper, we propose an empirical study on several massive social networks including 4 mobile call graphs, a fixed-line call graph, two co-authorship networks and two Email networks. We find that call graphs tend to be more locality than the co-authorship networks and Email networks. To our surprise, we even find that there is no significant relations between community sizes and their quality scores for most extracted communities. We also find that some very huge community with high mean quality values, and we can not find the universal “V” shape in their mean quality values.

Author-supplied keywords

  • Call graphs
  • Community
  • Graph mining
  • Social network analysis

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Authors

  • Qi Ye

  • Bin Wu

  • Yuan Gao

  • Bai Wang

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