The effect of generalized deactivation mechanism in weighted networks

Liang Tian, Da-Ning Shi and Chen-Ping Zhu

Physica A: Statistical Mechanics and its Applications, 2007, vol. 380, issue C, 611-620

Abstract: In this paper, we propose a generalized deactivation model to characterize weighted networks. By introducing the special aging mechanism, the model can produce power-law distributions of degree, strength, and weight, as confirmed in many real networks. We also characterize the clustering and correlation properties of this class of networks. A scaling behavior of clustering coefficient C∼1/M is observed, where M refers to the number of active nodes. The generated network simultaneously exhibits hierarchical organization and disassortative degree correlation. All of these structural properties are confirmed by present empirical evidence.

Keywords: Complex network; Aging; Generalized deactivation model; Weighted network (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:380:y:2007:i:c:p:611-620

DOI: 10.1016/j.physa.2007.02.104

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