Authors
Daijun Wei, Xinyang Deng, Xiaoge Zhang, Yong Deng, Sankaran Mahadevan
Publication date
2013/5/15
Journal
Physica A: Statistical Mechanics and its Applications
Volume
392
Issue
10
Pages
2564-2575
Publisher
North-Holland
Description
The design of an effective ranking method to identify influential nodes is an important problem in the study of complex networks. In this paper, a new centrality measure is proposed based on the Dempster–Shafer evidence theory. The proposed measure trades off between the degree and strength of every node in a weighted network. The influences of both the degree and the strength of each node are represented by basic probability assignment (BPA). The proposed centrality measure is determined by the combination of these BPAs. Numerical examples are used to illustrate the effectiveness of the proposed method.
Total citations
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Scholar articles
D Wei, X Deng, X Zhang, Y Deng, S Mahadevan - Physica A: Statistical Mechanics and its Applications, 2013