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A diffusion perspective on temporal networks: A case study on a supermarket

Author

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  • Deng, Shiguo
  • Qiu, Lu
  • Yang, Yue
  • Yang, Huijie

Abstract

From a large amount of records, one can extract behavioral characteristics of a social system at different scales. Theoretically, it can help us to know how the global behavior of a social system is formed from individual activities. Practically, it can be used to optimize and even to control the social system. Complicated relationships between the individuals form a network, which evolves with time. The behavior of the system can be accordingly understood in the framework of temporal network. In the present paper, instead of focusing on microscopic structures, we develop a framework to investigate temporal networks from the viewpoint of diffusion process, in which each snapshot network is divided into groups and the ID number of the group a node belongs to is used to measure its state. By this way trajectories of the nodes form an ensemble of realizations of a stochastic process. As an illustration, we investigate the diffusion behavior of a supermarket. One can find that with the increase of time the customers cluster and separate into different groups. Meanwhile, the system evolves in a significant order way, instead of a complete random one.

Suggested Citation

  • Deng, Shiguo & Qiu, Lu & Yang, Yue & Yang, Huijie, 2016. "A diffusion perspective on temporal networks: A case study on a supermarket," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 62-68.
    • Handle: RePEc:eee:phsmap:v:441:y:2016:i:c:p:62-68
    DOI: 10.1016/j.physa.2015.08.058
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    Cited by:

    1. Xiaole Wan & Zhen Zhang & Chi Zhang & Qingchun Meng, 2020. "Stock Market Temporal Complex Networks Construction, Robustness Analysis, and Systematic Risk Identification: A Case of CSI 300 Index," Complexity, Hindawi, vol. 2020, pages 1-19, July.

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