Identifying influential nodes in complex networks: A node information dimension approach

Tian Bian; Yong Deng

doi:10.1063/1.5030894

Identifying influential nodes in complex networks: A node information dimension approach

Chaos. 2018 Apr;28(4):043109. doi: 10.1063/1.5030894.

Authors

Tian Bian¹, Yong Deng¹

Affiliation

¹ Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu 610054, China.

PMID: 31906639
DOI: 10.1063/1.5030894

Abstract

In the field of complex networks, how to identify influential nodes is a significant issue in analyzing the structure of a network. In the existing method proposed to identify influential nodes based on the local dimension, the global structure information in complex networks is not taken into consideration. In this paper, a node information dimension is proposed by synthesizing the local dimensions at different topological distance scales. A case study of the Netscience network is used to illustrate the efficiency and practicability of the proposed method.