000048089 001__ 48089
000048089 005__ 20200221144341.0
000048089 0247_ $$2doi$$a10.1038/srep20666
000048089 0248_ $$2sideral$$a93619
000048089 037__ $$aART-2016-93619
000048089 041__ $$aeng
000048089 100__ $$aAlcalde Cuesta, F.
000048089 245__ $$aExploring the topological sources of robustness against invasion in biological and technological networks
000048089 260__ $$c2016
000048089 5060_ $$aAccess copy available to the general public$$fUnrestricted
000048089 5203_ $$aFor a network, the accomplishment of its functions despite perturbations is called robustness. Although this property has been extensively studied, in most cases, the network is modified by removing nodes. In our approach, it is no longer perturbed by site percolation, but evolves after site invasion. The process transforming resident/healthy nodes into invader/mutant/diseased nodes is described by the Moran model. We explore the sources of robustness (or its counterpart, the propensity to spread favourable innovations) of the US high-voltage power grid network, the Internet2 academic network, and the C. elegans connectome. We compare them to three modular and non-modular benchmark networks, and samples of one thousand random networks with the same degree distribution. It is found that, contrary to what happens with networks of small order, fixation probability and robustness are poorly correlated with most of standard statistics, but they depend strongly on the degree distribution. While community detection techniques are able to detect the existence of a central core in Internet2, they are not effective in detecting hierarchical structures whose topological complexity arises from the repetition of a few rules. Box counting dimension and Rent''s rule are applied to show a subtle trade-off between topological and wiring complexity.
000048089 536__ $$9info:eu-repo/grantAgreement/ES/UZ/CUD2015-CIE-05$$9info:eu-repo/grantAgreement/ES/MICINN/MTM2013-46337-C2-2-P
000048089 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000048089 590__ $$a4.259$$b2016
000048089 591__ $$aMULTIDISCIPLINARY SCIENCES$$b10 / 63 = 0.159$$c2016$$dQ1$$eT1
000048089 592__ $$a1.691$$b2016
000048089 593__ $$aMultidisciplinary$$c2016$$dQ1
000048089 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000048089 700__ $$aGonzález Sequeiros, P.
000048089 700__ $$0(orcid)0000-0002-1184-5901$$aLozano Rojo, Á.
000048089 773__ $$g6 (2016), [13 pp.]$$pSci. rep.$$tSCIENTIFIC REPORTS$$x2045-2322
000048089 8564_ $$s2026717$$uhttps://zaguan.unizar.es/record/48089/files/texto_completo.pdf$$yVersión publicada
000048089 8564_ $$s109806$$uhttps://zaguan.unizar.es/record/48089/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000048089 909CO $$ooai:zaguan.unizar.es:48089$$particulos$$pdriver
000048089 951__ $$a2020-02-21-13:50:29
000048089 980__ $$aARTICLE