Identifying node importance based on evidence theory in complex networks

Hongming Mo and Yong Deng

Physica A: Statistical Mechanics and its Applications, 2019, vol. 529, issue C

Abstract: How to identify influential nodes in complex networks is still an open issue. In this paper, a new multi-evidence centrality is proposed based on evidence theory. The existing measures of degree centrality, betweenness centrality, efficiency centrality and correlation centrality are taken into consideration in the proposed method. The simulation on Advanced Research Projects Agency (ARPA) network is used to illustrate the effectiveness of the proposed method.

Keywords: Complex networks; Important nodes; Evidence theory; Multi-evidence centrality; Comprehensive measure (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:529:y:2019:i:c:s0378437119309021

DOI: 10.1016/j.physa.2019.121538

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