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Strength distribution of novel local-world networks

Author

Listed:
  • Ma, Ying-Hong
  • Li, Hui-Jia
  • Zhang, Xiao-Dong

Abstract

It is discovered that there are two important characters, local-world character and weight-driven character, in many real-life complex networks. Motivated by this fact, a weight-driven local-world network model is proposed, which incorporates the weight dynamics and the fixed local-world property. By means of mathematical analysis and numerical simulation, the strength distribution of the network model has been obtained. The results are applied to epidemic spreading theory.

Suggested Citation

  • Ma, Ying-Hong & Li, Hui-Jia & Zhang, Xiao-Dong, 2009. "Strength distribution of novel local-world networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4669-4677.
    • Handle: RePEc:eee:phsmap:v:388:y:2009:i:21:p:4669-4677
    DOI: 10.1016/j.physa.2009.07.030
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    Cited by:

    1. Rui, Yikang & Ban, Yifang, 2012. "Nonlinear growth in weighted networks with neighborhood preferential attachment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4790-4797.
    2. Deng, Zheng-Hong & Qiao, Hong-Hai & Song, Qun & Gao, Li, 2019. "A complex network community detection algorithm based on label propagation and fuzzy C-means," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 217-226.
    3. Wang, Hongjue, 2019. "An universal algorithm for source location in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 620-630.

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