期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 352, 期 2-4, 页码 669-676出版社
ELSEVIER
DOI: 10.1016/j.physa.2004.12.050
关键词
networks and genealogical trees; systems obeying scaling laws; structures and organization in complex systems
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and link orientation. Since the method detects efficiently clustered nodes in large networks even when these are not sharply partitioned, it turns to be specially suitable for the analysis of social and information networks. We test the algorithm on a large-scale data-set from a psychological experiment of word association. In this case, it proves to be successful both in clustering words, and in uncovering mental association patterns. (c) 2005 Elsevier B.V. All rights reserved.
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