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Endowing networks with desired symmetries and modular behavior.
Khanra, P; Ghosh, S; Aleja, D; Alfaro-Bittner, K; Contreras-Aso, G; Criado, R; Romance, M; Boccaletti, S; Pal, P; Hens, C.
Afiliación
  • Khanra P; Department of Mathematics, State University of New York at Buffalo, Buffalo 14260, USA.
  • Ghosh S; Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Gachibowli, Hyderabad 500032, India.
  • Aleja D; Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933 Móstoles, Madrid, Spain.
  • Alfaro-Bittner K; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Contreras-Aso G; Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933 Móstoles, Madrid, Spain.
  • Criado R; Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933 Móstoles, Madrid, Spain.
  • Romance M; Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933 Móstoles, Madrid, Spain.
  • Boccaletti S; Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933 Móstoles, Madrid, Spain.
  • Pal P; Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933 Móstoles, Madrid, Spain.
  • Hens C; CNR - Institute of Complex Systems, Via Madonna del Piano 10, I-50019 Sesto Fiorentino, Italy.
Phys Rev E ; 108(5-1): 054309, 2023 Nov.
Article en En | MEDLINE | ID: mdl-38115459
ABSTRACT
Symmetries in a network regulate its organization into functional clustered states. Given a generic ensemble of nodes and a desirable cluster (or group of clusters), we exploit the direct connection between the elements of the eigenvector centrality and the graph symmetries to generate a network equipped with the desired cluster(s), with such a synthetical structure being furthermore perfectly reflected in the modular organization of the network's functioning. Our results solve a relevant problem of designing a desired set of clusters and are of generic application in all cases where a desired parallel functioning needs to be blueprinted.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Phys Rev E Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Phys Rev E Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos