Uncovering the topology of configuration space networks (Articolo in rivista)

Type
Label
  • Uncovering the topology of configuration space networks (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Gfeller, D; de Lachapelle, DM; Rios, PDL; Caldarelli, G; Rao, F (2007)
    Uncovering the topology of configuration space networks
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Gfeller, D; de Lachapelle, DM; Rios, PDL; Caldarelli, G; Rao, F (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 76 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Ecole Polytech Fed Lausanne, SB ITP, Lab Biophys Stat, CH-1015 Lausanne, Switzerland; Museo Storico Fis, I-00184 Rome, Italy; Ctr Studi & Ricerche E Fermi, I-00184 Rome, Italy; Univ Roma La Sapienza, Dipartimento Fis, CNR, INFM,SMC, I-00185 Rome, Italy (literal)
Titolo
  • Uncovering the topology of configuration space networks (literal)
Abstract
  • 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. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Autore CNR di
Prodotto
Insieme di parole chiave di
data.CNR.it