Literature DB >> 23215528

Scale-free structures emerging from co-evolution of a network and the distribution of a diffusive resource on it.

Takaaki Aoki1, Toshio Aoyagi.   

Abstract

Co-evolution exhibited by a network system, involving the intricate interplay between the dynamics of the network itself and the subsystems connected by it, is a key concept for understanding the self-organized, flexible nature of real-world network systems. We propose a simple model of such coevolving network dynamics, in which the diffusion of a resource over a weighted network and the resource-driven evolution of the link weights occur simultaneously. We demonstrate that, under feasible conditions, the network robustly acquires scale-free characteristics in the asymptotic state. Interestingly, in the case that the system includes dissipation, it asymptotically realizes a dynamical phase characterized by an organized scale-free network, in which the ranking of each node with respect to the quantity of the resource possessed thereby changes ceaselessly. Our model offers a unified framework for understanding some real-world diffusion-driven network systems of diverse types.

Year:  2012        PMID: 23215528     DOI: 10.1103/PhysRevLett.109.208702

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  4 in total

Review 1.  Coevolution spreading in complex networks.

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Journal:  Phys Rep       Date:  2019-07-29       Impact factor: 25.600

2.  A model for simulating emergent patterns of cities and roads on real-world landscapes.

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Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

3.  Self-healing networks: redundancy and structure.

Authors:  Walter Quattrociocchi; Guido Caldarelli; Antonio Scala
Journal:  PLoS One       Date:  2014-02-12       Impact factor: 3.240

4.  Spatio-temporal dynamics in collective frog choruses examined by mathematical modeling and field observations.

Authors:  Ikkyu Aihara; Takeshi Mizumoto; Takuma Otsuka; Hiromitsu Awano; Kohei Nagira; Hiroshi G Okuno; Kazuyuki Aihara
Journal:  Sci Rep       Date:  2014-01-27       Impact factor: 4.379

  4 in total

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