How much random a random network is : a random matrix analysis

preprint2008arXivOpen access

Abstract

We analyze complex networks under random matrix theory framework. Particularly, we show that Δ3Δ_3 statistic, which gives information about the long range correlations among eigenvalues, provides a qualitative measure of randomness in networks. As networks deviate from the regular structure, Δ3Δ_3 follows random matrix prediction of linear behavior, in semi-logarithmic scale with the slope of 1/π21/π^2, for the longer scale.

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