  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.
