Statistical analysis of real large-scale mobile social network

  • Authors:
  • Zhengbin Dong;Guojie Song;Kunqing Xie;Ke Tang;Jingyao Wang

  • Affiliations:
  • Key Laboratory of Machine Perception, Ministry of Education, Peking University, China;Key Laboratory of Machine Perception, Ministry of Education, Peking University, China;Key Laboratory of Machine Perception, Ministry of Education, Peking University, China;Key Laboratory of Machine Perception, Ministry of Education, Peking University, China;China Mobile Group HeiLongJiang Co., Ltd

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
  • Year:
  • 2009

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Abstract

Mobile social network (MSN) is a typical social network where one or more individuals of similar interests or commonalities, conversing and connecting with one another using the mobile phone. In this paper we analyze a large-scale MSN on real mobile phone call data. The main contributions of our works can be summarized as three-fold: firstly, a large-scale MSN is constructed from the mobile phone call logs provided by a mobile phone carrier in China; secondly, based on the analysis of the commonfeatures of networks, we confirm that the MSN is a typical scale-free network and has some small-world phenomenons; lastly, different form traditional social network analysis, properties of the actors, such as gender and age, have been introduced into our analysis with some interesting finding about human behavior, for example: the middle-age people are more active than the young and old people, and the female is unexpectedly more active than the male at old age.