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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Traffic dynamics in scale-free networks with tunable strength of community structure
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Traffic dynamics in scale-free networks with tunable strength of community structure

机译：社区结构强度可调的无标度网络中的流量动态

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摘要

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.
机译：在本文中，我们基于局部路由策略，系统地研究了社区结构对无标度网络中流量动态的影响。引入增长模型来构建具有可调整的社区结构强度的无标度网络，并使用参数为α的分组路由策略同时处理分组的导航和传输。仿真表明，在相同顶点容量的情况下，最大网络容量为α= -1，并且随着社区结构强度的增加而单调递减，这表明具有模糊社区结构（即社区强度较弱）的网络在网络上更有效。传递的数据包比具有明显社区结构的数据包要多。为了解释这些结果，需要仔细研究每个顶点的数据包分布。我们的结果表明，适度的社区结构强度对于实际复杂系统的信息传递更加方便。

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