Literature DB >> 24125313

Link-based formalism for time evolution of adaptive networks.

Jie Zhou1, Gaoxi Xiao, Guanrong Chen.   

Abstract

Network topology and nodal dynamics are two fundamental stones of adaptive networks. Detailed and accurate knowledge of these two ingredients is crucial for understanding the evolution and mechanism of adaptive networks. In this paper, by adopting the framework of the adaptive SIS model proposed by Gross et al. [Phys. Rev. Lett. 96, 208701 (2006)] and carefully utilizing the information of degree correlation of the network, we propose a link-based formalism for describing the system dynamics with high accuracy and subtle details. Several specific degree correlation measures are introduced to reveal the coevolution of network topology and system dynamics.

Year:  2013        PMID: 24125313     DOI: 10.1103/PhysRevE.88.032808

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


  3 in total

1.  Evolutionary prisoner's dilemma games coevolving on adaptive networks.

Authors:  Hsuan-Wei Lee; Nishant Malik; Peter J Mucha
Journal:  J Complex Netw       Date:  2017-07-07

2.  Social clustering in epidemic spread on coevolving networks.

Authors:  Hsuan-Wei Lee; Nishant Malik; Feng Shi; Peter J Mucha
Journal:  Phys Rev E       Date:  2019-06       Impact factor: 2.529

3.  Multiple peaks patterns of epidemic spreading in multi-layer networks.

Authors:  Muhua Zheng; Wei Wang; Ming Tang; Jie Zhou; S Boccaletti; Zonghua Liu
Journal:  Chaos Solitons Fractals       Date:  2018-01-03       Impact factor: 5.944

  3 in total

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