RT Journal Article
T1 A method for validating Rent’s rule for technological and biological networks
A1 Alcalde Cuesta, Fernando
A1 González Sequeiros, Pablo
A1 Lozano Rojo, Álvaro
K1 Stochastic networks
K1 Complex networks
AB Rent’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
PB Springer Nature
SN 2045-2322
YR 2017
FD 2017-07-14
LK http://hdl.handle.net/10347/16775
UL http://hdl.handle.net/10347/16775
LA eng
NO Alcalde Cuesta, F., González Sequeiros, P., & Lozano Rojo, Á. (2017). A method for validating Rent’s rule for technological and biological networks. Scientific Reports, 7(1). http://dx.doi.org/10.1038/s41598-017-05670-w
NO This work was supported by the Spanish Statal Research Agency (Grant MTM2016-77642-C2-2-P), the Government of Galicia (Grant GPC2015/006) and the European Regional Development Fund. Third author was also supported by the Government of Aragón and the European Regional Development Fund (Grant E15 Geometría) and the Defense University Center of Zaragoza (Grant CUD 2015–10)
DS Minerva
RD 23 abr 2026