000061950 001__ 61950
000061950 005__ 20190709135512.0
000061950 0247_ $$2doi$$a10.1038/s41598-017-05670-w
000061950 0248_ $$2sideral$$a99621
000061950 037__ $$aART-2017-99621
000061950 041__ $$aeng
000061950 100__ $$aAlcalde Cuesta, Fernando
000061950 245__ $$aA method for validating Rent's rule for technological and biological networks
000061950 260__ $$c2017
000061950 5060_ $$aAccess copy available to the general public$$fUnrestricted
000061950 5203_ $$aRent’s rule is empirical power law introduced in an effort to describe and optimize the wiring complexity of computer logic graphs. It is known that brain and neuronal networks also obey Rent’s rule, which is consistent with the idea that wiring costs play a fundamental role in brain evolution and development. Here we propose a method to validate this power law for a certain range of network partitions. This method is based on the bifurcation phenomenon that appears when the network is subjected to random alterations preserving its degree distribution. It has been tested on a set of VLSI circuits and real networks, including biological and technological ones. We also analyzed the effect of different types of random alterations on the Rentian scaling in order to test the influence of the degree distribution. There are network architectures quite sensitive to these randomization procedures with significant increases in the values of the Rent exponents.
000061950 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E15$$9info:eu-repo/grantAgreement/ES/MICINN/MTM2016-77642-C2-2-P$$9info:eu-repo/grantAgreement/ES/UZ/CUD2015-10
000061950 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000061950 590__ $$a4.122$$b2017
000061950 591__ $$aMULTIDISCIPLINARY SCIENCES$$b12 / 64 = 0.188$$c2017$$dQ1$$eT1
000061950 592__ $$a1.533$$b2017
000061950 593__ $$aMultidisciplinary$$c2017$$dQ1
000061950 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000061950 700__ $$aGonzález Sequeiros, Pablo
000061950 700__ $$0(orcid)0000-0002-1184-5901$$aLozano Rojo, Álvaro
000061950 773__ $$g7, 5378 (2017), [11 pp.]$$pSci. rep.$$tScientific reports$$x2045-2322
000061950 8564_ $$s3275482$$uhttps://zaguan.unizar.es/record/61950/files/texto_completo.pdf$$yVersión publicada
000061950 8564_ $$s111213$$uhttps://zaguan.unizar.es/record/61950/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000061950 909CO $$ooai:zaguan.unizar.es:61950$$particulos$$pdriver
000061950 951__ $$a2019-07-09-11:52:41
000061950 980__ $$aARTICLE