Near Real Time Assessment of Emergent Complex Systems of Confederates

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This research seeks to develop new theory, metrics, algorithms and models, and a multi-level modeling workflow for Faction Detection, Dynamics and Influence (FD2I) - i.e., detecting, assessing and forcasting the behavior of factions and their dynamics under alternative courses of action. We view factions as groups with a political focus in their agenda and/or the issues around which they coalesce. Factions are an ever-evolving complex confederated system that can only be understood, and their behavior predicted, within the security context in which they operate on both the cyber and physical plane.