Growing scale-free small-world networks with tunable assortative coefficient

Qiang Guo, Tao Zhou, Jian-Guo Liu, Wen-Jie Bai, Bing-Hong Wang and Ming Zhao

Physica A: Statistical Mechanics and its Applications, 2006, vol. 371, issue 2, 814-822

Abstract: In this paper, we propose a simple rule that generates scale-free small-world networks with tunable assortative coefficient. These networks are constructed by two-stage adding process for each new node. The model can reproduce scale-free degree distributions and small-world effect. The simulation results are consistent with the theoretical predictions approximately. Interestingly, we obtain the nontrivial clustering coefficient C and tunable degree assortativity r by adjusting the parameter: the preferential exponent β. The model can unify the characterization of both assortative and disassortative networks.

Keywords: Complex networks; Scale-free networks; Small-world networks; Assortative coefficient (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:371:y:2006:i:2:p:814-822

DOI: 10.1016/j.physa.2006.03.055

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