The ability to create random models of real networks is useful for understanding the interactions of the networks. Several researchers have proposed modeling of complex networks using the degree distribution, the most popular being a power-law distribution for vertex degrees. Recent work by Li et al. introduced the S metric as a way to characterize the structure of these networks. In this paper, we examine some of the practical difficulties of producing a random graph with given degree sequence and a given approximate S value. We also give a solution for this problem with which we have had success using in our research.
Proceedings of the International Conference on Modeling, Simulation and Visualization Methods
and Cloteaux, B.
Generating Network Models Using the S-Metric, Proceedings of the International Conference on Modeling, Simulation and Visualization Methods, Las Vegas, NV, USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=152129
(Accessed November 29, 2023)