Parallel Knowledge Community Detection Algorithm Research Based on MapReduce

Abstract:

Article Preview

Knowledge community detection algorithm is a main technical means to knowledge discovery in complex network. It is used to discover the potential community structures to provide a basis for web services, for example, personalized recommendations. In this paper, a parallel algorithm for knowledge community detection based on MapReduce is proposed. This paper, through various experiments, proves that the efficiency of the parallel algorithm is increased significantly.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1646-1650

DOI:

10.4028/www.scientific.net/AMR.204-210.1646

Citation:

M. Xu et al., "Parallel Knowledge Community Detection Algorithm Research Based on MapReduce", Advanced Materials Research, Vols. 204-210, pp. 1646-1650, 2011

Online since:

February 2011

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Price:

$35.00

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