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Learning Graph Quality Metrics Report

Overview

  • Total Concepts: 200
  • Foundational Concepts (no dependencies): 6
  • Concepts with Dependencies: 194
  • Average Dependencies per Concept: 1.77

Graph Structure Validation

  • Valid DAG Structure: ❌ No
  • Self-Dependencies: None detected ✅
  • Cycles Detected: 0

Foundational Concepts

These concepts have no prerequisites:

  • 1: Organizational Analytics
  • 2: Human Resources Data
  • 4: Relational Databases
  • 6: Graph Databases
  • 117: Natural Language Processing
  • 130: Machine Learning

Dependency Chain Analysis

  • Maximum Dependency Chain Length: 15

Longest Learning Path:

  1. Graph Databases (ID: 6)
  2. Graph Data Model (ID: 8)
  3. Nodes (ID: 9)
  4. Edges (ID: 10)
  5. Directed Graphs (ID: 13)
  6. Graph Traversals (ID: 21)
  7. Graph Algorithms (ID: 85)
  8. Degree Centrality (ID: 86)
  9. Graph Metrics (ID: 111)
  10. Connected Components (ID: 114)
  11. Subgraph Analysis (ID: 115)
  12. Motif Detection (ID: 116)
  13. Pattern Detection (ID: 187)
  14. Anomaly Detection (ID: 188)
  15. Alerting Systems (ID: 190)

Orphaned Nodes Analysis

  • Total Orphaned Nodes: 80

Concepts that are not prerequisites for any other concept:

  • 3: HRIS
  • 5: Relational Database Limits
  • 7: Graph vs Relational
  • 14: Undirected Graphs
  • 15: Directed Acyclic Graphs
  • 17: Graph Schema Design
  • 18: Property Graph Model
  • 24: Graph Scalability
  • 29: Event Enrichment
  • 33: Desktop Activity
  • 34: Mobile Device Events
  • 37: Meeting Patterns
  • 38: Login and Logout Events
  • 41: Process Conformance
  • 45: Batch Loading
  • 48: Latency Management
  • 50: Deduplication
  • 53: Employee Identifier
  • 55: Organization Attributes
  • 57: Department Structure

...and 60 more

Connected Components

  • Number of Connected Components: 1

✅ All concepts are connected in a single graph.

Indegree Analysis

Top 10 concepts that are prerequisites for the most other concepts:

Rank Concept ID Concept Label Indegree
1 85 Graph Algorithms 13
2 25 Employee Event Streams 11
3 59 Modeling Communication 10
4 9 Nodes 9
5 10 Edges 9
6 8 Graph Data Model 8
7 26 Event Logs 8
8 51 Modeling Employees 8
9 70 Ethics of Privacy 8
10 86 Degree Centrality 8

Outdegree Distribution

Dependencies Number of Concepts
0 6
1 65
2 109
3 20

Recommendations

  • ⚠️ Many orphaned nodes (80): Consider if these should be prerequisites for advanced concepts

Report generated by learning-graph-reports/analyze_graph.py