CASOS Working PAPER

"Bouncing Back: Recovery Mechanisms of Covert Networks"(PDF file)
Authors: Maksim Tsvetovat, Kathleen M. Carley
Abstract
In study of covert networks and destabilization strategies thereof, much attention has been paid to the task of locating and isolating key individuals within the organization.
However, the real-world covert networks that have been a target of various isolation strategies have shown a high level of resilience, and were able to quickly recover from the damage caused by the isolation.
In this paper, we show taht cellular covert networks use transactive memory and other latent resources as a mechanism for a recovery from events that partition the network. Using a multi-agent network simulation, we proceed to show the recovery process and its effects on performance of the cellular network.