Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-02-28
AIP Conf. Proc. 776, 52 (2005)
Physics
Condensed Matter
Disordered Systems and Neural Networks
AIP conference proceedings format, 17 pages, 6 figures
Scientific paper
10.1063/1.1985377
We present an analytic formalism describing structural properties of random uncorrelated networks with arbitrary degree distributions. The formalism allows to calculate the main network characteristics like: the position of the phase transition at which a giant component first forms, the mean component size below the phase transition, the size of the giant component and the average path length above the phase transition. We apply the approach to classical random graphs of Erdos and Renyi, single-scale networks with exponential degree distributions and scale-free networks with arbitrary scaling exponents and structural cut-offs. In all the cases we obtain a very good agreement between results of numerical simulations and our analytical predictions.
Fronczak Agata
Fronczak Piotr
Holyst Janusz A.
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