Entity & Relationship Analysis
Relationship Graph
A relationship graph is a visual map of the entities in an investigation — people, organizations, domains, accounts, wallets and other identifiers — shown as nodes, with the evidenced connections between them shown as edges. A relationship graph makes patterns visible that a table hides: shared infrastructure, common officers, recurring contact details or overlapping usernames. Its value depends on discipline: each edge should trace back to an evidence record, and similarity alone is not proof of association. In Nexus, investigators add evidence from cited findings to a case graph, explore connections between people, organizations and digital identifiers, and include selected graphs in PDF case reports.
Related OSINT terms
- Node (Entity)In graph analysis and entity correlation, a node represents an individual entity such as a person, organization, domain, IP address…
- Edge (Relationship)An edge in graph analysis represents a connection or relationship between two nodes (entities). Edges can be directional (showing flow…
- Link AnalysisLink analysis is a data analysis technique used to evaluate relationships and connections between entities in a network. Visual link…
- Entity CorrelationEntity correlation is the OSINT technique of identifying and mapping relationships between different entities such as people, organizations, domains, IP…
- Graph DatabaseA graph database is a database management system optimized for storing and querying data as nodes and relationships (edges) rather…
- Evidence RecordAn evidence record is a preserved, attributable item of source material captured during an investigation — the page, document, listing…
- Verified AssociationA verified association is a relationship between an investigation subject and a record, profile, identifier or other entity that is…
- Agentic OSINTAgentic OSINT is open-source intelligence in which an AI agent plans and carries out multi-step investigation workflows — source discovery…
Related Skills
Investigative Skills in Nexus that apply Relationship Graph to a live case.
- Patent and Inventor FootprintResearch patents, inventors, applicants and assignees while distinguishing same-name candidates.Pro & Agency
- Web3 Identity CorrelationExplore supported decentralized names and wallet relationships while preserving uncertainty about identity and control.Pro & Agency
- Cross-Entity CorrelationResearch and assess relationships across people, organizations and digital identifiers, distinguishing direct evidence from inference.Agency
