Ranking influential nodes in complex networks with structural holes

Ping Hu and Ting Mei

Physica A: Statistical Mechanics and its Applications, 2018, vol. 490, issue C, 624-631

Abstract: Ranking influential nodes in complex networks is of great theoretical and practical significance to ensure the safe operations of networks. In view of the important role structural hole nodes usually play in information spreading in complex networks, we propose a novel ranking method of influential nodes using structural holes called E-Burt method, which can be applied to weighted networks. This method fully takes into account the total connectivity strengths of the node in its local scope, the number of the connecting edges and the distributions of the total connectivity strengths on its connecting edges. The simulation results on the susceptible–infectious–recovered (SIR) dynamics suggest that the proposed E-Burt method can rank influential nodes more effectively and accurately in complex networks.

Keywords: Influential nodes; Structural holes; Entropic degree; Complex networks (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:490:y:2018:i:c:p:624-631

DOI: 10.1016/j.physa.2017.08.049

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