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References: Concept Impact Score and Predicting Content Length

  1. PageRank - Wikipedia - Describes the damped, iteratively-converged recursive importance algorithm this chapter's PageRank section introduces, and the graph-cycle problem CIS avoids by exploiting DAG acyclicity.

  2. Directed acyclic graph - Wikipedia - Covers the acyclicity property this chapter's Single-Pass DAG Computation section relies on to compute CIS exactly without a damping factor.

  3. Topological sorting - Wikipedia - Defines the ordering algorithm underlying both Single-Pass DAG Computation's exact CIS pass and Within-Chapter Concept Ordering's prerequisite-respecting sequencing.

  4. Eigenvector centrality - Wikipedia - Covers the broader family of recursive importance measures — a node's score depends on its neighbors' scores — that this chapter's Recursive Importance Measure section generalizes from.

  5. Katz centrality - Wikipedia - A damped recursive centrality measure closely related to PageRank, useful for contrasting general-graph damped measures against CIS's damping-free DAG solution.

  6. Elaboration theory - Wikipedia - Reigeluth's simple-to-complex instructional sequencing principle this chapter's Within-Chapter Concept Ordering section and the Elaboration Score/Elaboration Tier naming both draw on directly.

  7. Power law - Wikipedia - Describes the heavy-tailed distribution shape behind this chapter's Global Normalization section, where roughly half of a graph's concepts tie at the CIS floor, motivating the log-scaled Elaboration Score over a linear or percentile-rank scale.

  8. Normalization (statistics) - Wikipedia - Covers the general rescaling techniques this chapter's Global Normalization and Elaboration Score sections apply specifically to CIS values across an entire book.

  9. Software versioning - Wikipedia - Explains the version-number conventions (v1.06, v1.0.0, v1.09, v1.04) this chapter's "How CIS Changed Four Real Agent Skills" section cites when tracing the breaking-change dependency order across the four updated skills.

  10. Brin, S. and Page, L. (1998). "The Anatomy of a Large-Scale Hypertextual Web Search Engine." Computer Networks and ISDN Systems, 30(1-7), 107-117. - The original PageRank paper, the primary academic source underlying this chapter's PageRank section and its contrast between web-graph damping and CIS's exact DAG computation.