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Extraction algorithm for optimal coarse-grained networks on complex networks.

Authors :
Zeng, Lang
Jia, Zhen
Wang, Yingying
Source :
International Journal of Modern Physics C: Computational Physics & Physical Computation; Nov2019, Vol. 30 Issue 11, pN.PAG-N.PAG, 11p
Publication Year :
2019

Abstract

Coarse-graining of complex networks is a hot topic in network science. Coarse-grained networks are required to preserve the topological information or dynamic properties of the original network. Some effective coarse-graining methods have been proposed, while an urgent problem is how to obtain coarse-grained network with optimal scale. In this paper, we propose an extraction algorithm (EA) for optimal coarse-grained networks. Numerical simulation for EA on four kinds of networks and performing Kuramoto model on optimal coarse-grained networks, we find our algorithm can effectively obtain the optimal coarse-grained network. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
ALGORITHMS
COMPUTER simulation

Details

Language :
English
ISSN :
01291831
Volume :
30
Issue :
11
Database :
Complementary Index
Journal :
International Journal of Modern Physics C: Computational Physics & Physical Computation
Publication Type :
Academic Journal
Accession number :
139888141
Full Text :
https://doi.org/10.1142/S0129183119500815