# Location Graph **Entity class:** Identity-Resolution Layer concept **Location Graph** is a representation in which entities or states are nodes and typed relationships or transitions are edges. Used correctly, Location Graph supports conditional inference and collection planning without promoting proximity, exposure, or model output into proof. ## Counterterrorism predictive-graph role A relationship or identity match is an evidence-bearing hypothesis with source, time, and confidence. It is not guilt by association. The analytic state should distinguish ground truth, observed evidence, inferred state, and predicted state. ## Relationships - **domain router:** [[wiki/Identity Resolution|Identity Resolution]]. - **ontology neighbors:** [[wiki/Household Graph|Household Graph]] and [[wiki/Device-to-Person Resolution|Device-to-Person Resolution]]. - **synthesis:** [[wiki/Counterterrorism Predictive Graph|Counterterrorism Predictive Graph]] and [[wiki/Predictive Intelligence Loop|Predictive Intelligence Loop]]. ## Sources - [NCTC — Guidelines for Access, Retention, Use, and Dissemination of United States Person Information (accessed September 23, 2026)](https://www.odni.gov/files/NCTC/documents/RelatedContent_documents/NCTCGuidelines.pdf) - [IARPA — AGILE technical overview (accessed September 23, 2026)](https://www.iarpa.gov/images/research-programs/AGILE/AGILE_ModSim_-_Final.pdf) **As of:** 2026-09-23