Evaluating the importance of nodes in complex networks

Jun Liu, Qingyu Xiong, Weiren Shi, Xin Shi and Kai Wang

Physica A: Statistical Mechanics and its Applications, 2016, vol. 452, issue C, 209-219

Abstract: Evaluating the importance of nodes for complex networks is of great significance to the research of survivability and robusticity of networks. This paper proposes an effective ranking method based on degree value and the importance of lines. It can well identify the importance of bridge nodes with lower computational complexity. Firstly, the properties of nodes that are connected to a line are used to compute the importance of the line. Then, the contribution of nodes to the importance of lines is calculated. Finally, degree of nodes and the contribution of nodes to the importance of lines are considered to rank the importance of nodes. Five real networks are used as test data. The experimental results show that our method can effectively evaluate the importance of nodes for complex networks.

Keywords: Complex networks; Node importance; Line importance; Efficiency of network (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:452:y:2016:i:c:p:209-219

DOI: 10.1016/j.physa.2016.02.049

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