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Journal article

Collective iteration behavior for online social networks

  • Liu, Jian-Guo Research Center of Fin. Tech., Shanghai University of Finance and Economics, Shanghai, China
  • Li, Ren-De Research Center of Complex Systems Science, University of Shanghai for Science and Technology, China - Library, University of Shanghai for Science and Technology, Shanghai, China
  • Guo, Qiang Research Center of Complex Systems Science, University of Shanghai for Science and Technology, China
  • Zhang, Yi-Cheng Department of Physics, University of Fribourg, Switzerland
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    01.06.2018
Published in:
  • Physica A: Statistical Mechanics and its Applications. - 2018, vol. 499, p. 490–497
English Understanding the patterns of collective behavior in online social network (OSNs) is critical to expanding the knowledge of human behavior and tie relationship. In this paper, we investigate a specific pattern called social signature in Facebook and Wiki users’ online communication behaviors, capturing the distribution of frequency of interactions between different alters over time in the ego network. The empirical results show that there are robust social signatures of interactions no matter how friends change over time, which indicates that a stable commutation pattern exists in online communication. By comparing a random null model, we find the that commutation pattern is heterogeneous between ego and alters. Furthermore, in order to regenerate the pattern of the social signature, we present a preferential interaction model, which assumes that new users intend to look for the old users with strong ties while old users have tendency to interact with new friends. The experimental results show that the presented model can reproduce the heterogeneity of social signature by adjusting 2 parameters, the number of communicating targets m and the max number of interactions n, for Facebook users, m=n=5, for Wiki users, m=2 and n=8. This work helps in deeply understanding the regularity of social signature.
Faculty
Faculté des sciences et de médecine
Department
Département de Physique
Language
  • English
Classification
Physics
License
License undefined
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Persistent URL
https://folia.unifr.ch/unifr/documents/307207
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