Literature DB >> 16241517

Cyclic topology in complex networks.

Hyun-Joo Kim1, Jin Min Kim.   

Abstract

We introduce a cyclic coefficient R which characterizes the degree of circulation in complex networks. If a network has a perfect treelike structure, then R becomes zero. The larger value of R represents that the network has more cyclic structure. We measure both the cyclic coefficients and the distributions of local cyclic coefficients for various networks and discuss the cyclic structures of them.

Year:  2005        PMID: 16241517     DOI: 10.1103/PhysRevE.72.036109

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


  4 in total

1.  The intrinsic connectome of the rat amygdala.

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Journal:  Front Neural Circuits       Date:  2012-12-11       Impact factor: 3.492

2.  Origin of structural difference in metabolic networks with respect to temperature.

Authors:  Kazuhiro Takemoto; Tatsuya Akutsu
Journal:  BMC Syst Biol       Date:  2008-09-22

3.  Optimal information networks: Application for data-driven integrated health in populations.

Authors:  Joseph L Servadio; Matteo Convertino
Journal:  Sci Adv       Date:  2018-02-02       Impact factor: 14.136

4.  Environmental variability and modularity of bacterial metabolic networks.

Authors:  Merav Parter; Nadav Kashtan; Uri Alon
Journal:  BMC Evol Biol       Date:  2007-09-23       Impact factor: 3.260

  4 in total

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