Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-03-03
Physics
Condensed Matter
Disordered Systems and Neural Networks
APS twocolumn style, 10 pages, 5 figures
Scientific paper
10.1103/PhysRevE.74.026121
The paper orders certain important issues related to both uncorrelated and correlated networks with hidden variables. In particular, we show that networks being uncorrelated at the hidden level are also lacking in correlations between node degrees. The observation supported by the depoissonization idea allows to extract distribution of hidden variables from a given node degree distribution. It completes the algorithm for generating uncorrelated networks that was suggested by other authors. In this paper we also carefully analyze the interplay between hidden attributes and node degrees. We show how to extract hidden correlations from degree correlations. Our derivations provide mathematical background for the algorithm for generating correlated networks that was proposed by Boguna and Pastor-Satorras.
Fronczak Agata
Fronczak Piotr
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