网络分析中链路结构与社区节点角色的探索

J. Scripps, P. Tan, A. Esfahanian
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引用次数: 61

摘要

社区是网络中的节点,它们根据一组共同的属性组合在一起。虽然通常认为社区和链接结构是一致的,但当使用其他外部标准定义社区时,情况可能并非如此。本文提出了一种新的测量对准度的方法。我们还提供了一个新的度量,可用于估计节点所连接的社区的数量。此度量与程度一起用于将基于社区的角色分配给节点。我们通过将基于社区的节点角色应用于影响最大化问题来证明其有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration of Link Structure and Community-Based Node Roles in Network Analysis
Communities are nodes in a network that are grouped together based on a common set of properties. While the communities and link structures are often thought to be in alignment, it may not be the case when the communities are defined using other external criterion. In this paper we provide a new way to measure the alignment. We also provide a new metric that can be used to estimate the number of communities to which a node is attached. This metric, along with degree, is used to assign a community-based role to nodes. We demonstrate the usefulness of the community-based node roles by applying them to the influence maximization problem.
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