# Assortativity **Entity class:** Node, Edge, Relationship, And Topology Layer concept **Assortativity** is a concept in the node, edge, relationship, and topology of the counterterrorism predictive-graph ontology. Within a predictive graph, Assortativity helps separate recorded evidence from the hidden state inferred from that evidence. ## Counterterrorism predictive-graph role The page records capability and analytic function. Any claim of a named operational deployment remains subject to the [[wiki/Counterterrorism Predictive Graph Evidence Ladder|evidence ladder]]. The analytic state should distinguish ground truth, observed evidence, inferred state, and predicted state. ## Relationships - **domain router:** [[wiki/Graph Theory|Graph Theory]]. - **ontology neighbors:** [[wiki/Homophily|Homophily]] and [[wiki/Clustering Coefficient|Clustering Coefficient]]. - **synthesis:** [[wiki/Counterterrorism Predictive Graph|Counterterrorism Predictive Graph]] and [[wiki/Predictive Intelligence Loop|Predictive Intelligence Loop]]. ## Sources - [IARPA — AGILE technical overview (accessed September 23, 2026)](https://www.iarpa.gov/images/research-programs/AGILE/AGILE_ModSim_-_Final.pdf) - [IARPA — Making Data Analysis More AGILE (accessed September 23, 2026)](https://www.iarpa.gov/newsroom/article/making-data-analysis-more-agile) **As of:** 2026-09-23