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Growing networks with temporal effect and mixed attachment mechanisms

Author

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  • Shao, Zhi-Gang
  • Chen, Tao
  • Ai, Bao-quan

Abstract

In this paper, motivated by previous research works on the evolution of the network topology, i.e., the combination of preferential attachment and temporal effect (aging of vertices), we propose a novel model which combines the mixed attachment mechanisms (preferential attachment and uniform attachment) and the temporal effect to investigate the topological properties of the network during the evolution. Our results show that the degree distribution of the model follows the exponential-decaying form.

Suggested Citation

  • Shao, Zhi-Gang & Chen, Tao & Ai, Bao-quan, 2014. "Growing networks with temporal effect and mixed attachment mechanisms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 147-152.
    • Handle: RePEc:eee:phsmap:v:413:y:2014:i:c:p:147-152
    DOI: 10.1016/j.physa.2014.06.070
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    Cited by:

    1. Huang, Xikun & Lu, Ruqian, 2020. "An evolving network model with information filtering and mixed attachment mechanisms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).

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