Article ID Journal Published Year Pages File Type
10480905 Physica A: Statistical Mechanics and its Applications 2013 10 Pages PDF
Abstract
Detection of community structures in the weighted complex networks is significant to understand the network structures and analysis of the network properties. We present a unique algorithm to detect overlapping communities in the weighted complex networks with considerable accuracy. For a given weighted network, all the seed communities are first extracted. Then to each seed community, more community members are absorbed using the absorbing degree function. In addition, our algorithm successfully finds common nodes between communities. The experiments using some real-world networks show that the performance of our algorithm is satisfactory.
Related Topics
Physical Sciences and Engineering Mathematics Mathematical Physics
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