relation: http://eprints.imtlucca.it/1102/
title: Uncovering the topology of configuration space networks
creator: Gfeller, David
creator: de Lachapelle, David Morton
creator: De Los Rios, Paolo
creator: Caldarelli, Guido
creator: Rao, Francesco
subject: QC Physics
description: The configuration space network (CSN) of a dynamical system is an effective approach to represent the ensemble of configurations sampled during a simulation and their dynamic connectivity. To elucidate the connection between the CSN topology and the underlying free-energy landscape governing the system dynamics and thermodynamics, an analytical solution is provided to explain the heavy tail of the degree distribution, neighbor connectivity, and clustering coefficient. This derivation allows us to understand the universal CSN topology observed in systems ranging from a simple quadratic well to the native state of the beta3s peptide and a two-dimensional lattice heteropolymer. Moreover, CSNs are shown to fall in the general class of complex networks described by the fitness model.
publisher: American Physical Society
date: 2007
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/1102/1/PhysRevE.76.026113Caldarelli_2007.pdf
identifier:   Gfeller, David and de Lachapelle, David Morton and De Los Rios, Paolo and Caldarelli, Guido and Rao, Francesco  Uncovering the topology of configuration space networks.  Physical Review E, 76 (2).  026113.  ISSN 1539-3755      (2007)  
relation: http://dx.doi.org/10.1103/PhysRevE.76.026113
relation: doi:10.1103/PhysRevE.76.026113