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The annotated knowledge graph maintained by search engines where nodes are documents (URLs, web pages), edges are links plus topical annotations, and weights represent authority scores (PageRank) plus relevance scores. Has MEDIUM fuzziness - relationships are scored/ranked rather than binary or probabilistic. Strengthening Document Graph presence means AI CITES you.

The Document Graph is the investigative journalist of the Algorithmic Trinity - it tracks which documents exist, how they link, and how authoritative they are. This is where citations come from. Build it SECOND - after Entity Graph but before Concept Graph.

Use when discussing search optimization, link building, or content authority. Document Graph is the bridge between verified facts (Entity) and learned patterns (Concept).

Document Graph as the medium-fuzziness knowledge graph storing documents, links, and authority scores.

┌─────────────────────────────────────────────────────────────┐
│                      DOCUMENT GRAPH                         │
│               "The Investigative Journalist"                │
│                  Fuzziness: MEDIUM ●●○                      │
└─────────────────────────────────────────────────────────────┘

┌───────────────────────────────────────────────────────────┐
│                                                           │
│    ┌──────────────┐                                       │
│    │ kalicube.com │◀────┐                                 │
│    │  (PR: 45)    │     │ citation                        │
│    └──────┬───────┘     │                                 │
│           │link         │                                 │
│           ▼             │                                 │
│    ┌──────────────┐  ┌──────────────┐                     │
│    │ /about-jason │  │searchengine  │                     │
│    │  (PR: 38)    │  │  land.com    │                     │
│    └──────────────┘  │  (PR: 72)    │                     │
│                      └──────────────┘                     │
│                                                           │
│    NODES: Documents (URLs, web pages)                    │
│    EDGES: Links + Topical annotations                    │
│    WEIGHTS: Authority (PageRank) + Relevance scores      │
│                                                           │
│    Scored/ranked - not binary, not probabilistic         │
└───────────────────────────────────────────────────────────┘

OUTCOME: AI CITES you
         Build SECOND (after Entity, before Concept)