Open AccessStructural self-assembly and avalanchelike dynamics in locally adaptive networks
Author(s) -
Johannes Gräwer,
Carl D. Modes,
Marcelo O. Magnasco,
Eleni Katifori
Publication year - 2015
Publication title -
physical review. e, statistical, nonlinear and soft matter physics
Language(s) - English
Resource type - Journals
eISSN - 1550-2376
pISSN - 1539-3755
DOI - 10.1103/physreve.92.012801
Subject(s) - key (lock) , computer science , self organization , dynamics (music) , hierarchical organization , distributed computing , architecture , complex network , complex adaptive system , biological system , statistical physics , artificial intelligence , biology , physics , art , computer security , management , world wide web , acoustics , economics , visual arts
Transport networks play a key role across four realms of eukaryotic life: slime molds, fungi, plants, and animals. In addition to the developmental algorithms that build them, many also employ adaptive strategies to respond to stimuli, damage, and other environmental changes. We model these adapting network architectures using a generic dynamical system on weighted graphs and find in simulation that these networks ultimately develop a hierarchical organization of the final weighted architecture accompanied by the formation of a system-spanning backbone. In addition, we find that the long term equilibration dynamics exhibit behavior reminiscent of glassy systems characterized by long periods of slow changes punctuated by bursts of reorganization events