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A network evolution model based on community structure

机译:基于社区结构的网络演化模型

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Social networks are human-centered relationship communities. The research about social networks has an impact on the people's daily life. In this paper, we observe the social networks based on the DBLP and Facebook datasets and confirm that the medium-scale community has a star-shaped structure and a core structure with high-connectivity and small diameter in the social networks. At the same time, we find that community merging depends largely on the clustering coefficient of the graph composed of nodes that connect two communities directly, and community splitting is largely decided by the clustering coefficient of this community. (C) 2015 Elsevier B.V. All rights reserved.
机译:社交网络是以人为本的关系社区。关于社交网络的研究对人们的日常生活产生了影响。在本文中,我们观察了基于DBLP和Facebook数据集的社交网络,并确认中型社区在社交网络中具有星形结构和具有高连接性且直径较小的核心结构。同时,我们发现社区合并很大程度上取决于由直接连接两个社区的节点组成的图的聚类系数,而社区分裂在很大程度上取决于该社区的聚类系数。 (C)2015 Elsevier B.V.保留所有权利。

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