Prof. Boleslaw K. Szymanski presented an invited talk title "A Network Generator for Covert Network Structures," at the Panel on Detecting Threatening Behavior, The 9/11 Symposium, Create Center, USC, Los Angeles, CA, September 15, 2021

Prof. Boleslaw K. Szymanski presented an invited talk titled "A Network Generator for Covert Network Structures," at the Panel on Detecting Threatening Behavior, The 9/11 Symposium, Create Center, USC, Los Angeles, CA, September 15, 2021. The talk focused on organizational structures in covert networks, such as criminal or terrorist networks. Their members engage in illegal activities and attempt to hide their association and interactions with these networks. Hence, data about such networks are incomplete. We introduce a novel method of rewiring covert networks parameterized by the edge connectivity standard deviation. The generated networks are statistically similar to themselves and to the original network. The higher-level organizational structures are modeled as a multilayer network while the lowest level uses the Stochastic Block Model. Such synthetic networks provide alternative structures for data about the original network. Using them, analysts can find structures that are frequent, therefore stable under perturbations. Another application is to anonymize a generated network and use it for testing new software developed in open research facilities. The results indicate that modeling edge structure and the hierarchy together is essential for generating networks that are statistically similar but not identical to each other or the original network. In experiments, we generate many synthetic networks from two covert networks. Only a few structures of synthetics networks repeat, with the most stable ones shared by 18% of all synthetic networks making them strong candidates for the ground truth structure.