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Detecting communities in large networks

Capocci, Andrea and Servedio, Vito D. P. and Caldarelli, Guido and Colaiori, Francesca Detecting communities in large networks. Physica A: Statistical Mechanics and its Applications, 352 (2-4). pp. 669-676. ISSN 0378-4371 (2005)

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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.

Item Type: Article
Identification Number: 10.1016/j.physa.2004.12.050
Uncontrolled Keywords: PACS: 89.75.Hc; 89.75.Da; 89.75.Fb; Keywords: Networks and genealogical trees; Systems obeying scaling laws; Structures and organization in complex systems
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Economics and Institutional Change
Depositing User: Ms T. Iannizzi
Date Deposited: 13 Feb 2012 14:30
Last Modified: 21 Nov 2013 09:04
URI: http://eprints.imtlucca.it/id/eprint/1114

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