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Chapter Metrics

Generated by: Book Metrics Python Program v0.08
Generated on: June 03, 2026 at 12:10 PM

This file contains chapter-by-chapter metrics for student-facing content.

Chapter Name Sections Diagrams Equations Words Links Quiz Refs
1 Introduction to Graph Thinking and Data Modeling 23 5 0 4,749 18 10 0
2 Database Systems and NoSQL 25 1 1 6,109 14 10 0
3 Labeled Property Graph Information Model 33 0 0 6,525 14 10 0
4 Query Languages for Graph Databases 42 0 0 4,925 13 10 0
5 Performance, Metrics, and Benchmarking 43 0 3 5,545 14 10 0
6 Graph Algorithms 30 6 0 7,247 14 10 0
7 Social Network Modeling 20 11 0 12,521 14 10 0
8 Knowledge Representation and Management 32 6 0 8,398 14 10 0
9 Graph Modeling Patterns and Data Loading 39 6 0 9,759 14 10 0
10 Commerce, Supply Chain, and IT Infrastructure 27 4 1 7,852 14 10 0
11 Financial, Healthcare, and Regulatory Applications 21 3 0 7,786 15 10 0
13 Why Graph Databases Can Use Much Less Power Than Distributed Rule Engines 16 0 0 774 0 0 0
14 Advanced Topics and Distributed Systems 29 7 0 9,123 15 10 0

Metrics Explanation

  • Chapter: Chapter number (leading zeros removed)
  • Name: Chapter title from index.md
  • Sections: Count of H2 and H3 headers in chapter markdown files
  • Diagrams: Count of H4 headers starting with '#### Diagram:'
  • Equations: LaTeX expressions using $ and $$ delimiters
  • Words: Word count across all markdown files in the chapter
  • Links: Markdown-formatted links [text](url)
  • Quiz: Number of quiz questions in the chapter's quiz.md (0 if none)
  • Refs: Number of references in the chapter's references.md (0 if none)