Unveiling the Connectivity of Complex Networks Using Ordinal Transition Methods

Autor: Juan A. Almendral, I. Leyva, Irene Sendiña-Nadal

Publikováno v: Entropy, Vol 25, Iss 7, p 1079 (2023)

Ordinal measures provide a valuable collection of tools for analyzing correlated data series. However, using these methods to understand information interchange in the networks of dynamical systems, and uncover the interplay between dynamics and stru

Externí odkaz: https://doaj.org/article/d79c9f2af4c94e7b8d41887afda0d893

Emergence of small-world anatomical networks in self-organizing clustered neuronal cultures.

Autor: Daniel de Santos-Sierra, Irene Sendiña-Nadal, Inmaculada Leyva, Juan A Almendral, Sarit Anava, Amir Ayali, David Papo, Stefano Boccaletti

Publikováno v: PLoS ONE, Vol 9, Iss 1, p e85828 (2014)

In vitro primary cultures of dissociated invertebrate neurons from locust ganglia are used to experimentally investigate the morphological evolution of assemblies of living neurons, as they self-organize from collections of separated cells into elabo

Externí odkaz: https://doaj.org/article/10115e3489be4326870014ae908727eb

Unveiling protein functions through the dynamics of the interaction network.

Autor: Irene Sendiña-Nadal, Yanay Ofran, Juan A Almendral, Javier M Buldú, Inmaculada Leyva, Daqing Li, Shlomo Havlin, Stefano Boccaletti

Publikováno v: PLoS ONE, Vol 6, Iss 3, p e17679 (2011)

Protein interaction networks have become a tool to study biological processes, either for predicting molecular functions or for designing proper new drugs to regulate the main biological interactions. Furthermore, such networks are known to be organi

Externí odkaz: https://doaj.org/article/42684ec3575f4f939e00f95d3a7b274e

Experimental complexity in physical, social and biological systems

Autor: Javier M. Buldú, Juan A. Almendral, Irene Sendiña-Nadal, Miguel Romance, Regino Criado, R. Gutiérrez, Inmaculada Leyva, Jacobo Aguirre

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)

There are a myriad of examples of dynamical systems displaying chaos and complex behavior, from the simple double pendulum, to the much more complex human brain or any social organization. They are typically characterized by the presence of nonlinear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1433cb2047ee503da743ca1e12c7092
http://hdl.handle.net/10261/240333

Emergent explosive synchronization in adaptive complex networks

Autor: Vanesa Avalos-Gaytán, Inmaculada Leyva, Juan A. Almendral, Stefano Boccaletti, Federico Battiston, Vito Latora, Vincenzo Nicosia

Publikováno v: Physical review. E
97 (2018): 042301-1–042301-7. doi:10.1103/PhysRevE.97.042301
info:cnr-pdr/source/autori:Avalos-Gaytan V.; Almendral J.A.; Leyva I.; Battiston F.; Nicosia V.; Latora V.; Boccaletti S./titolo:Emergent explosive synchronization in adaptive complex networks/doi:10.1103%2FPhysRevE.97.042301/rivista:Physical review. E (Print)/anno:2018/pagina_da:042301-1/pagina_a:042301-7/intervallo_pagine:042301-1–042301-7/volume:97

Adaptation plays a fundamental role in shaping the structure of a complex network and improving its functional fitting. Even when increasing the level of synchronization in a biological system is considered as the main driving force for adaptation, t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c0305738789a5c2b36540983b71cdd3
http://hdl.handle.net/20.500.11769/357661