Traffic dynamics in scale-free networks with tunable strength of community structure

Ming-yang Zhou, Shi-min Cai and Zhong-qian Fu

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 4, 1887-1893

Abstract: In this paper we systematically investigate the impact of community structure on traffic dynamics in scale-free networks based on local routing strategy. A growth model is introduced to construct scale-free networks with tunable strength of community structure, and a packet routing strategy with a parameter α is used to deal with the navigation and transportation of packets simultaneously. Simulations show that the maximal network capacity stands at α=−1 in the case of identical vertex capacity and monotonously decreases with the strength of community structure which suggests that the networks with fuzzy community structure (i.e., community strength is weak) are more efficient in delivering packets than those with pronounced community structure. To explain these results, the distribution of packets of each vertex is carefully studied. Our results indicate that the moderate strength of community structure is more convenient for the information transfer of real complex systems.

Keywords: Traffic dynamics; Scale-free network; Community structure; Complex system (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:391:y:2012:i:4:p:1887-1893

DOI: 10.1016/j.physa.2011.10.028

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