Parameter estimation in a dynamic Chung-Lu random graph

Physical review. E, vol. 112, pp. 014315

Abstract

In this paper, we consider a dynamic version of the Chung-Lu random graph in which the edges alternate between being present and absent. The main contribution concerns a technique by which one can estimate the underlying dynamics from partial information, in particular from snapshots of the total number of edges present. The efficacy of our inference method is demonstrated through a series of numerical experiments.

Authors 2

1. Michel Mandjes Aachen Mathematical Institute

   Leiden University

   Affiliation as printed

   Leiden University

   Mathematical Institute, Leiden University, The Netherlands

2. Jiesen Wang

   University of Amsterdam

   Affiliation as printed

   University of Amsterdam

   Korteweg-de Vries Institute for Mathematics, University of Amsterdam, The Netherlands