Author, as appears in the article.: Rapisardi, Giacomo; Kryven, Ivan; Arenas, Alex
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Arenas Moreno, Alejandro / Rapisardi, Giacomo
Keywords: Algorithms Animals Computer simulation Homeostasis Humans Models, statistical Nerve net Neural networks, computer
Abstract: Percolation is a process that impairs network connectedness by deactivating links or nodes. This process features a phase transition that resembles paradigmatic critical transitions in epidemic spreading, biological networks, traffic and transportation systems. Some biological systems, such as networks of neural cells, actively respond to percolation-like damage, which enables these structures to maintain their function after degradation and aging. Here we study percolation in networks that actively respond to link damage by adopting a mechanism resembling synaptic scaling in neurons. We explain critical transitions in such active networks and show that these structures are more resilient to damage as they are able to maintain a stronger connectedness and ability to spread information. Moreover, we uncover the role of local rescaling strategies in biological networks and indicate a possibility of designing smart infrastructures with improved robustness to perturbations.
Thematic Areas: Antropologia / arqueologia Astronomia / física Biochemistry, genetics and molecular biology (all) Biochemistry, genetics and molecular biology (miscellaneous) Biodiversidade Biotecnología Chemistry (all) Chemistry (miscellaneous) Ciência da computação Ciências agrárias i Ciências ambientais Ciências biológicas i Ciências biológicas ii Ciências biológicas iii Educação física Engenharias iv Farmacia General biochemistry,genetics and molecular biology General chemistry General medicine General physics and astronomy Geociências Interdisciplinar Matemática / probabilidade e estatística Materiais Medicina i Medicina ii Medicina iii Medicina veterinaria Multidisciplinary Multidisciplinary sciences Nutrição Odontología Physics and astronomy (all) Physics and astronomy (miscellaneous) Planejamento urbano e regional / demografia Psicología Química Saúde coletiva Zootecnia / recursos pesqueiros
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: alexandre.arenas@urv.cat
Author identifier: 0000-0003-0937-0334
Record's date: 2024-09-28
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.nature.com/articles/s41467-021-27736-0
Papper original source: Nature Communications. 13 (1): 122-
APA: Rapisardi, Giacomo; Kryven, Ivan; Arenas, Alex (2022). Percolation in networks with local homeostatic plasticity. Nature Communications, 13(1), 122-. DOI: 10.1038/s41467-021-27736-0
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.1038/s41467-021-27736-0
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications
Repositori URV