A network generator for covert network structures

Abstract A new Bernoulli Weighted Random Network model controlling variance of edge distributions to nodes. Uses this model to create alternative organizational structures of a covert network data. Represents covert metwork structure as multi-layer network and stochastic block model. Article type: Research Article Keywords: Social networks, Random weighted network generator, Network structure stability, Covert networks, Hierarchical networks Authors: Amr Elsisy, Aamir Mandviwalla, Boleslaw K. Szymanski, Thomas Sharkey Affiliations: Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA; Network