Paper Title:
Parallel Knowledge Community Detection Algorithm Research Based on MapReduce
  Abstract

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, P. P. Yang, J. Ma, "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
$32.00
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