Graphthat

Graphthat is a conceptual framework for representing and analyzing graphs in which relationships can carry rich metadata and be organized into contextual clusters. It operates at the intersection of graph theory and data visualization, emphasizing readability and modular analysis of complex networks.

Data model: A graphthat model comprises nodes with labeled attributes, edges with types and weights, and optional contextual groupings called that contexts. Each edge can reference a that context, linking a relationship to a higher-level claim or scenario. This allows combined representation of structure and narrative context within a single graph.

Querying and visualization: Graphthat supports a pattern-based query approach and layered visualizations that separate structural topology from contextual annotations. Queries can filter by node type, edge type, and by that context, enabling focused subgraphs and scenario comparisons.

Origins and adoption: Graphthat originated in theoretical discussions and experimental tooling as part of efforts to handle richly annotated graphs. It is not a single standard; implementations vary and the term is used primarily in research and educational contexts rather than production databases.

Applications: knowledge graphs, social networks, literature networks, and other domains where relationships are contextual and can be grouped into scenes or scenarios.

Related concepts include graph theory, knowledge graphs, hypergraphs, and graph databases.