具有生长和重新布线动态的多群落二部网络的度分布

H. Fan
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引用次数: 1

摘要

许多现实世界的网络以社区结构出现,并随着增长和重新布线的动态而发展。虽然一些实证研究显示了这种现实世界网络中每个社区的普遍幂律分布,但对增长和重新布线动态的每个社区的度分布的研究缺乏。在本文中,我们构造了一个具有生长和重新布线动态的多社区二部网络模型。由于社区的相互作用,每个社区的增长率和重新布线率随着时间的推移而演变。研究发现,多群落二部网络模型各群落的稳定度分布与无群落结构的二部网络模型的稳定度分布是等价的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Degree Distribution of a Multi-community Bipartite Network with Both Growing and Rewiring Dynamics
Many real-world networks appear with community structure, and evolve with both growing and rewiring dynamics. Although some empirical investigations show the universal power law distribution in each community of such real-world networks, the study on the degree distribution in each community with both growing and rewiring dynamics lacks. In this paper, we construct a multi-community bipartite network model with both growing and rewiring dynamics. The growing rate and rewiring rate in each community evolve with time due to the interacting of communities. We find that the steady degree distribution in each community of the multi-community bipartite network model is equivalent to that in a bipartite network model without community structure.
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