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Distribution characteristics of weighted bipartite evolving networks

Author

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  • Zhang, Danping
  • Dai, Meifeng
  • Li, Lei
  • Zhang, Cheng

Abstract

Motivated by an evolving model of online bipartite networks, we introduce a model of weighted bipartite evolving networks. In this model, there are two disjoint sets of nodes, called user node set and object node set. Edges only exist between two disjoint sets. Edge weights represent the usage amount between a couple of user node and object node. This model not only clinches the bipartite networks’ internal mechanism of network growth, but also takes into account the object strength deterioration over time step. User strength and object strength follow power-law distributions, respectively. The weighted bipartite evolving networks have scare-free property in certain situations. Numerical simulations results agree with the theoretical analyses.

Suggested Citation

  • Zhang, Danping & Dai, Meifeng & Li, Lei & Zhang, Cheng, 2015. "Distribution characteristics of weighted bipartite evolving networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 340-350.
    • Handle: RePEc:eee:phsmap:v:428:y:2015:i:c:p:340-350
    DOI: 10.1016/j.physa.2015.02.010
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    Citations

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    Cited by:

    1. Ye, Dandan & Dai, Meifeng & Sun, Yu & Su, Weiyi, 2017. "Average weighted receiving time on the non-homogeneous double-weighted fractal networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 390-402.
    2. Zong, Yue & Dai, Meifeng & Wang, Xiaoqian & He, Jiaojiao & Zou, Jiahui & Su, Weiyi, 2018. "Network coherence and eigentime identity on a family of weighted fractal networks," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 184-194.
    3. Hernández, Juan M. & González-Martel, Christian, 2017. "An evolving model for the lodging-service network in a tourism destination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 296-307.

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