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Graph Report - worked/mixed-corpus/raw (2026-04-05)

Corpus Check

  • 4 files · ~2,500 words
  • Verdict: corpus is large enough that graph structure adds value.

Summary

  • 22 nodes · 38 edges · 5 communities detected
  • Extraction: 50% EXTRACTED · 50% INFERRED · 0% AMBIGUOUS
  • Token cost: 0 input · 0 output

God Nodes (most connected - your core abstractions)

  1. _cross_file_surprises() - 7 edges
  2. _is_file_node() - 5 edges
  3. _cross_community_surprises() - 5 edges
  4. _node_community_map() - 4 edges
  5. _is_concept_node() - 4 edges
  6. _surprise_score() - 4 edges
  7. suggest_questions() - 4 edges
  8. god_nodes() - 3 edges
  9. surprising_connections() - 3 edges
  10. _file_category() - 2 edges

Surprising Connections (you probably didn't know these)

  • suggest_questions() --calls--> _node_community_map() [INFERRED] worked/mixed-corpus/raw/analyze.py → worked/mixed-corpus/raw/analyze.py Bridges community 3 → community 2
  • _cross_file_surprises() --calls--> _surprise_score() [INFERRED] worked/mixed-corpus/raw/analyze.py → worked/mixed-corpus/raw/analyze.py Bridges community 1 → community 3

Communities

Community 0 - "Community 0"

Cohesion: 0.47 Nodes (4): cluster(), cohesion_score(), score_all(), _split_community()

Community 1 - "Community 1"

Cohesion: 0.6 Nodes (3): _file_category(), _surprise_score(), _top_level_dir()

Community 2 - "Community 2"

Cohesion: 0.67 Nodes (4): god_nodes(), _is_concept_node(), _is_file_node(), suggest_questions()

Community 3 - "Community 3"

Cohesion: 0.83 Nodes (4): _cross_community_surprises(), _cross_file_surprises(), _node_community_map(), surprising_connections()

Community 4 - "Community 4"

Cohesion: 1.0 Nodes (2): build(), build_from_json()

Suggested Questions

Questions this graph is uniquely positioned to answer:

  • Why does _cross_file_surprises() connect Community 3 to Community 1, Community 2? High betweenness centrality (0.024) - this node is a cross-community bridge.
  • Why does _is_file_node() connect Community 2 to Community 1, Community 3? High betweenness centrality (0.008) - this node is a cross-community bridge.
  • Why does _surprise_score() connect Community 1 to Community 3? High betweenness centrality (0.007) - this node is a cross-community bridge.
  • Are the 6 inferred relationships involving _cross_file_surprises() (e.g. with surprising_connections() and _node_community_map()) actually correct? _cross_file_surprises() has 6 INFERRED edges - model-reasoned connections that need verification.
  • Are the 4 inferred relationships involving _is_file_node() (e.g. with god_nodes() and _cross_file_surprises()) actually correct? _is_file_node() has 4 INFERRED edges - model-reasoned connections that need verification.
  • Are the 4 inferred relationships involving _cross_community_surprises() (e.g. with surprising_connections() and _cross_file_surprises()) actually correct? _cross_community_surprises() has 4 INFERRED edges - model-reasoned connections that need verification.
  • Are the 3 inferred relationships involving _node_community_map() (e.g. with _cross_file_surprises() and _cross_community_surprises()) actually correct? _node_community_map() has 3 INFERRED edges - model-reasoned connections that need verification.