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.
|Journal||Physical Review E - Statistical, Nonlinear, and Soft Matter Physics|
|Issue number||4 2|
|Publication status||Published - Oct 1 2004|
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Statistics and Probability
- Condensed Matter Physics