RESEARCH / VISUAL THINKING / ENTITIES & RELATIONS

Visual Thinking Knowledge Graph

Explore concepts, terms, methods, and applications. Follow a named relationship back to an inspectable passage.

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107concept entities95semantic relationsNeo4j · Shared bilingual IDs

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Select a node to inspect evidence. Tab and Enter work on nodes. Use buttons to zoom; drag to pan.

Find a path between concepts

Paths use undirected connectivity for navigation while retaining each relation’s original direction and qualification. A path is not causal proof.

Sources, evidence boundaries, and construction method

The graph is extracted from this report: 690 nodes and 1933 relationships in total. The main view focuses on 107 concept entities and 95 named semantic relations. Other records provide passages, citations, and chapter context. Mentions use explicit lexical matching; semantic relations are structured paraphrases of report statements, each with a retained passage.

This page reads a public snapshot exported from the local Neo4j database on 17 October 2026. PageRank measures structural connectivity in this report’s semantic network; communities are exploratory groups. Neither measures evidential quality, causal strength, or an established subject taxonomy. Concepts without semantic links remain accessible through their source sections.

The seven Neo4j skills

  • ModelingEntities, relations, and constraints
  • Document importBilingual chapter and passage provenance
  • ImportBatched parameterized import and replay checks
  • CypherVersion-compatible queries and execution plans
  • Python driverEncrypted local connection and transactions
  • GDSConnectivity, structural centrality, and communities
  • MCPConnector/schema checks and query-limit diagnostics