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In this paper we propose a new metric, Link Influence Entropy (LInE), which describes importance of each node based on the influence of each link present in a network. Influence of a link can neither be effectively estimated using betweenness centrality nor using degree based probability measures. The proposed LInE metric which provides an effective way to estimate the influence of a link in the network...
Community is a network's subgraph where vertices share similar properties and reflect interesting characteristics for understanding complex networks more closely. Therefore, community structure analysis is important in understanding and exploring complex networks and helps in describing relationship among nodes in a network. However, efficiently finding communities in a complex network still remains...
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