Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-01-18
Physics
Condensed Matter
Disordered Systems and Neural Networks
12 pages and 1 figure
Scientific paper
In analogy to superstatistics, which connects Boltzmann-Gibbs statistical mechanics to its generalizations through temperature fluctuations, complex networks are constructed from the fluctuating Erdos-Renyi random graphs. Here, using the quantum mechanical method, the exact analytic formula is presented for the hidden variable distribution, which describes the fluctuation and generates a generic degree distribution through the Poisson transformation. As an example, a static scale-free network is discussed and the corresponding hidden variable distribution is found to decay as a power law.
Abe Sumiyoshi
Thurner Stefan
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