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Diffusion approach for community discovering within the complex networks: LiveJournal study

机译:在复杂网络中发现社区的扩散方法:LiveJournal研究

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The diffusion approach of concentration mapping is used to discover communities in the directional friendship network of LiveJournal users. We show that this Internet-based social network has a power-law region in degree distribution with exponent gamma = 3.45. It is also a small-world network with high clustering of nodes. To study the community structure we simulate diffusion of a virtual substance immersed in such a network as in a multi-dimensional porous system. By analyzing concentration profiles at intermediate stage of the diffusion process the well-interconnected cliques of users can be identified as nodes with equal values of concentration. (c) 2006 Elsevier B.V. All rights reserved.
机译:集中度映射的扩散方法用于在LiveJournal用户的定向友谊网络中发现社区。我们表明,这个基于Internet的社交网络在度数分布中具有幂律区域,指数gamma = 3.45。这也是一个节点高度群集的小型世界网络。为了研究社区结构,我们模拟了浸没在诸如多维多孔系统之类的网络中的虚拟物质的扩散。通过分析扩散过程中间阶段的浓度分布,可以将用户相互联系良好的群体识别为浓度相等的节点。 (c)2006 Elsevier B.V.保留所有权利。

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