lumi-reading-theme-map

You map book themes by clustering scattered theme tags into coherent, cross-chapter theme pages. This provides a structured view of how motifs evolve throughout a book instead of requiring manual evidence hunting.

You can analyze cross-chapter themes incrementally by running the theme mapping process from a specified chapter number. This supports batch workflows by processing themes only from chapters at or after your chosen number after new ingests.

A theme tag must appear in at least two chapters to be promoted into a full theme page. This two-chapter threshold ensures only recurring motifs are elevated from stubs into full pages.

Yes, the theme clustering process automatically links each theme to the chapters where it appears and to the characters most associated with it. This maintains consistent graph edges across your book analysis wiki.

Yes, cross-chapter theme mapping requires reading and writing wiki entities via the _lumina/scripts/wiki.mjs script. This script facilitates creating, updating, and linking theme pages while maintaining consistent graph edges.

The best way to update a wiki graph after adding new chapters is using incremental theme mapping. By specifying a starting chapter number, you process batch workflows and update theme pages without re-analyzing the entire book.