Academic Journal

Towards Online Multiresolution Community Detection in Large-Scale Networks.

Ngā taipitopito rārangi puna kōrero
Taitara: Towards Online Multiresolution Community Detection in Large-Scale Networks.
Ngā kaituhi: Huang, Jianbin, Sun, Heli, Liu, Yaguang, Song, Qinbao, Weninger, Tim
Puna: PLoS ONE; 2011, Vol. 6 Issue 8, p1-11, 11p
Whakarāpopotonga: The investigation of community structure in networks has aroused great interest in multiple disciplines. One of the challenges is to find local communities from a starting vertex in a network without global information about the entire network. Many existing methods tend to be accurate depending on a priori assumptions of network properties and predefined parameters. In this paper, we introduce a new quality function of local community and present a fast local expansion algorithm for uncovering communities in large-scale networks. The proposed algorithm can detect multiresolution community from a source vertex or communities covering the whole network. Experimental results show that the proposed algorithm is efficient and well-behaved in both real-world and synthetic networks. [ABSTRACT FROM AUTHOR]
Ngā kupu marau: WORLD Wide Web, INVESTIGATIONS, COMMUNITIES, HYPOTHESIS, ALGORITHMS, VERTEX operator algebras, COMPUTER networks, EXPERIMENTS
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ISSN: 19326203
DOI: 10.1371/journal.pone.0023829
Pātengi raraunga: Complementary Index