Literature DB >> 22060467

Multifractality of complex networks.

Shuhei Furuya1, Kousuke Yakubo.   

Abstract

We demonstrate analytically and numerically the possibility that the fractal property of a scale-free network cannot be characterized by a unique fractal dimension and the network takes a multifractal structure. It is found that the mass exponents τ(q) for several deterministic, stochastic, and real-world fractal scale-free networks are nonlinear functions of q, which implies that structural measures of these networks obey the multifractal scaling. In addition, we give a general expression of τ(q) for some class of fractal scale-free networks by a mean-field approximation. The multifractal property of network structures is a consequence of large fluctuations of local node density in scale-free networks.

Year:  2011        PMID: 22060467     DOI: 10.1103/PhysRevE.84.036118

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

1.  Multifractal analysis of weighted networks by a modified sandbox algorithm.

Authors:  Yu-Qin Song; Jin-Long Liu; Zu-Guo Yu; Bao-Gen Li
Journal:  Sci Rep       Date:  2015-12-04       Impact factor: 4.379

2.  Fractal and multifractal analyses of bipartite networks.

Authors:  Jin-Long Liu; Jian Wang; Zu-Guo Yu; Xian-Hua Xie
Journal:  Sci Rep       Date:  2017-03-31       Impact factor: 4.379

3.  Relationship between Entropy and Dimension of Financial Correlation-Based Network.

Authors:  Chun-Xiao Nie; Fu-Tie Song
Journal:  Entropy (Basel)       Date:  2018-03-07       Impact factor: 2.524

4.  Deciphering the generating rules and functionalities of complex networks.

Authors:  Xiongye Xiao; Hanlong Chen; Paul Bogdan
Journal:  Sci Rep       Date:  2021-11-25       Impact factor: 4.379

  4 in total

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