Reverse engineering of linking preferences from network restructuring

Gergely Palla, Illés Farkas, Imre Derényi, Albert László Barabási, Tamás Vicsek

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A method to deduce the preferences governing the restructuring dynamics of a network from the observed rewiring of the edges was discussed. The approach was tested by Monte Carlo simulations of restructuring graphs with known energies. The method was also used to study variations of real network systems ranging from the coauthorship network of scientific publications to the asset graphs of the New York Stock Exchange. Analysis shows that the empirical energies obtained from the restructuring can be described by a universal function which is consistent with and justifies the validity of the p.

Original languageEnglish
Article number046115
Pages (from-to)046115-1-046115-7
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume70
Issue number4 2
DOIs
Publication statusPublished - Oct 1 2004

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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