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Identifying influential nodes in complex networks: A node information dimension approach.
- Source :
-
Chaos . Apr2018, Vol. 28 Issue 4, pN.PAG-N.PAG. 8p. 4 Diagrams, 1 Chart, 2 Graphs. - Publication Year :
- 2018
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *TOPOLOGY
*DIMENSIONS
*MATHEMATICS
*CHAOS theory
*MEASUREMENT
Subjects
Details
- Language :
- English
- ISSN :
- 10541500
- Volume :
- 28
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Chaos
- Publication Type :
- Academic Journal
- Accession number :
- 129388439
- Full Text :
- https://doi.org/10.1063/1.5030894