Structural self-assembly and avalanchelike dynamics in locally adaptive networks.
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.
Max Planck Institute for Dynamics and Self-Organization (MPIDS), 37077 Goettingen, Germany.
Johannes
J
Gräwer
Center for Studies in Physics and Biology, The Rockefeller University, New York, New York 10065, USA.
Carl D
CD
Modes
Center for Studies in Physics and Biology, The Rockefeller University, New York, New York 10065, USA.
Marcelo O
MO
Magnasco
Max Planck Institute for Dynamics and Self-Organization (MPIDS), 37077 Goettingen, Germany.|Department of Physics and Astronomy, University of Pennsylvania, 19104, Philadelphia, Pennsylvania 19104, USA.
Eleni
E
Katifori
D003198:Computer Simulation; D066264:Datasets as Topic; D005246:Feedback; D008962:Models, Theoretical; D013997:Time Factors