Towards a Principled, Computational, and Risk-Based Perspective in Dark Networks
conference contributionposted on 25.02.2021, 00:59 by Joseph Shaheen
In the domain of utilizing network data to ensure safety and national security, the paradigm of Dark Networks offers a systemic approach to identifying 'nodes of interest' in social networks. This paradigm is primarily based on the well-developed concepts of Social Network Analysis, but relies heavily on heuristic approaches that are often unprincipled (though powerful) from a statistical perspective. Recent advances in Network Science as well as greater availability of computational resources allow for more cautious approaches designed for risk-considered target policy-making.