Journal
CHAOS
Volume 28, Issue 4, Pages -Publisher
AIP Publishing
DOI: 10.1063/1.5030894
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Funding
- National Natural Science Foundation of China [61573290, 61503237]
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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. Published by AIP Publishing.
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