Community Detection in Complex Network via BGLL Algorithm

A large number of networks in nature, society and technology are defined by a mesoscopic level of organization, in which groups of nodes form tightly connected units, called communities, that are sparsely inter-linked to each other .Identifying this community structure is one of the most important problems in understanding of functions and structures of real world complex systems, which is still a challenging task. Various methods proposed so far are not efficient and accurate for large networks which comprise of millions of nodes because of their high computational cost. In this manuscript the authors will provide the implementation and behavioral analysis of BGLL algorithm for determining the structure of complex networks.

Provided by: Amity University Topic: Big Data Date Added: Jun 2012 Format: PDF

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