Centrality in Complex Networks with Overlapping Community Structure

Nature·Jul 12

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Research is being conducted on complex networks, focusing on the role of community structure in identifying influential nodes. Studies are exploring various methods, including the use of entropy and disassortativity, to measure the influence of nodes within these networks. The findings aim to provide a deeper understanding of complex network interactions and the spread of influence within them.

Full coverage

Overlapping community and entropy of neighborhood information for identifying influential nodes in complex networks

Nature·Nov 28

Measurement of influential nodes in networks based on community structure information entropy

Nature·Nov 28

Identifying influential nodes based on the disassortativity and community structure of complex network

Nature·Apr 11

Characterizing the interactions between classical and community-aware centrality measures in complex networks

Nature·May 12

Deciphering the overtaking phenomenon initiated by low-centrality nodes in spreading processes

Nature·Jul 1

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