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A tree-like complex network model

Author

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  • Gu, Yuying
  • Sun, Jitao

Abstract

We propose a new tree-like network model. Our results indicate that the tree-like model has a small-world effect with a small average path length and large clustering coefficient. Strikingly, our tree-like model is scale-free. We also add weight to the links following the network structure. With this adding-weight method, the weight of the nodes shows exponential growth, which is ubiquitous in social networks.

Suggested Citation

  • Gu, Yuying & Sun, Jitao, 2010. "A tree-like complex network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 171-178.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:1:p:171-178
    DOI: 10.1016/j.physa.2009.09.014
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    Cited by:

    1. Hollingshad, Nicholas W. & Turalska, Malgorzata & Allegrini, Paolo & West, Bruce J. & Grigolini, Paolo, 2012. "A new measure of network efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1894-1899.

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