Literature DB >> 35489844

Matryoshka and disjoint cluster synchronization of networks.

Amirhossein Nazerian1, Shirin Panahi1, Ian Leifer2, David Phillips3, Hernán A Makse2, Francesco Sorrentino1.   

Abstract

The main motivation for this paper is to characterize network synchronizability for the case of cluster synchronization (CS), in an analogous fashion to Barahona and Pecora [Phys. Rev. Lett. 89, 054101 (2002)] for the case of complete synchronization. We find this problem to be substantially more complex than the original one. We distinguish between the two cases of networks with intertwined clusters and no intertwined clusters and between the two cases that the master stability function is negative either in a bounded range or in an unbounded range of its argument. Our proposed definition of cluster synchronizability is based on the synchronizability of each individual cluster within a network. We then attempt to generalize this definition to the entire network. For CS, the synchronous solution for each cluster may be stable, independent of the stability of the other clusters, which results in possibly different ranges in which each cluster synchronizes (isolated CS). For each pair of clusters, we distinguish between three different cases: Matryoshka cluster synchronization (when the range of the stability of the synchronous solution for one cluster is included in that of the other cluster), partially disjoint cluster synchronization (when the ranges of stability of the synchronous solutions partially overlap), and complete disjoint cluster synchronization (when the ranges of stability of the synchronous solutions do not overlap).

Entities:  

Year:  2022        PMID: 35489844      PMCID: PMC8983070          DOI: 10.1063/5.0076412

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  31 in total

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3.  Synchronization in small-world systems.

Authors:  Mauricio Barahona; Louis M Pecora
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Journal:  Science       Date:  2013-06-21       Impact factor: 47.728

5.  Synchronization transition in networked chaotic oscillators: the viewpoint from partial synchronization.

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-05-12

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-07-05

7.  Symmetry- and input-cluster synchronization in networks.

Authors:  Abu Bakar Siddique; Louis Pecora; Joseph D Hart; Francesco Sorrentino
Journal:  Phys Rev E       Date:  2018-04       Impact factor: 2.529

8.  Symmetries and cluster synchronization in multilayer networks.

Authors:  Fabio Della Rossa; Louis Pecora; Karen Blaha; Afroza Shirin; Isaac Klickstein; Francesco Sorrentino
Journal:  Nat Commun       Date:  2020-06-23       Impact factor: 14.919

9.  Predicting synchronized gene coexpression patterns from fibration symmetries in gene regulatory networks in bacteria.

Authors:  Ian Leifer; Mishael Sánchez-Pérez; Cecilia Ishida; Hernán A Makse
Journal:  BMC Bioinformatics       Date:  2021-07-08       Impact factor: 3.169

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