Taxonomy Distribution Report

Overview

• Total Concepts: 200
• Number of Taxonomies: 14
• Average Concepts per Taxonomy: 14.3

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Graph Algorithms	GALG	33	16.5%	✅
NLP and Machine Learning	NLPML	23	11.5%	✅
Applied HR Analytics	APPHR	22	11.0%	✅
Organizational Modeling	OMOD	19	9.5%	✅
Organizational Insights	INSGT	19	9.5%	✅
Event Streams	EVENT	17	8.5%	✅
Graph Modeling	GMOD	13	6.5%	✅
Reporting and Dashboards	RPTDASH	10	5.0%	✅
Capstone and Integration	CAPST	10	5.0%	✅
Data Pipelines	DPIPE	9	4.5%	✅
Ethics and Privacy	ETHIC	9	4.5%	✅
Foundation Concepts	FOUND	7	3.5%	✅
Security	SECUR	6	3.0%	✅
Graph Performance	GPERF	3	1.5%	ℹ️ Under

Visual Distribution

Graph Algorithms         ████████  33 ( 16.5%)
NLP and Machine Learning █████  23 ( 11.5%)
Applied HR Analytics     █████  22 ( 11.0%)
Organizational Modeling  ████  19 (  9.5%)
Organizational Insights  ████  19 (  9.5%)
Event Streams            ████  17 (  8.5%)
Graph Modeling           ███  13 (  6.5%)
Reporting and Dashboards ██  10 (  5.0%)
Capstone and Integration ██  10 (  5.0%)
Data Pipelines           ██   9 (  4.5%)
Ethics and Privacy       ██   9 (  4.5%)
Foundation Concepts      █   7 (  3.5%)
Security                 █   6 (  3.0%)
Graph Performance           3 (  1.5%)

Balance Analysis

✅ No Over-Represented Categories

All categories are under the 30% threshold. Good balance!

ℹ️ Under-Represented Categories (<3%)

• Graph Performance (GPERF): 3 concepts (1.5%)
• Note: Small categories are acceptable for specialized topics

Category Details

Graph Algorithms (GALG)

Count: 33 concepts (16.5%)

Concepts:

• 1. Graph Traversals
• 1. Graph Algorithms
• 1. Degree Centrality
• 1. Indegree
• 1. Outdegree
• 1. Betweenness Centrality
• 1. Closeness Centrality
• 1. Eigenvector Centrality
• 1. PageRank
• 1. Pathfinding Algorithms
• 1. Shortest Path
• 1. Dijkstra Algorithm
• 1. Breadth-first Search
• 1. Depth-first Search
• 1. Clustering Coefficient
• ...and 18 more

NLP and Machine Learning (NLPML)

Count: 23 concepts (11.5%)

Concepts:

• 1. Natural Language Processing
• 1. Tokenization
• 1. Named Entity Recognition
• 1. Text Classification
• 1. Sentiment Analysis
• 1. Sentiment Scoring
• 1. Emotion Detection
• 1. Topic Modeling
• 1. Word Embeddings
• 1. Large Language Models
• 1. Summarization
• 1. Summarizing Events
• 1. Communication Tone Analysis
• 1. Machine Learning
• 1. Supervised Learning
• ...and 8 more

Applied HR Analytics (APPHR)

Count: 22 concepts (11.0%)

Concepts:

• 1. Recognition Events
• 1. Hidden Achievements
• 1. Alignment Analysis
• 1. Strategy Alignment
• 1. Ideation Tracking
• 1. Idea Flow Networks
• 1. Innovation Metrics
• 1. Mentoring Matching
• 1. Mentor-mentee Pairing
• 1. Skill Gap Analysis
• 1. Training Gap Detection
• 1. Placement Optimization
• 1. Optimal Task Assignment
• 1. Backlog Task Assignment
• 1. Career Path Analysis
• ...and 7 more

Organizational Modeling (OMOD)

Count: 19 concepts (9.5%)

Concepts:

• 1. Modeling Employees
• 1. Employee Attributes
• 1. Employee Identifier
• 1. Modeling Organizations
• 1. Organization Attributes
• 1. Organizational Hierarchy
• 1. Department Structure
• 1. Reporting Lines
• 1. Modeling Communication
• 1. Communication Channels
• 1. Communication Frequency
• 1. Communication Volume
• 1. Modeling Positions
• 1. Roles and Titles
• 1. Modeling Projects
• ...and 4 more

Organizational Insights (INSGT)

Count: 19 concepts (9.5%)

Concepts:

• 1. Influence Detection
• 1. Informal Leaders
• 1. Decision Shapers
• 1. Bridge Builders
• 1. Boundary Spanners
• 1. Information Flow Analysis
• 1. Communication Bottlenecks
• 1. Efficiency Metrics
• 1. Silo Detection
• 1. Cross-team Interaction
• 1. Fragmentation Analysis
• 1. Vulnerability Analysis
• 1. Single Points of Failure
• 1. Knowledge Concentration
• 1. Succession Planning
• ...and 4 more

Event Streams (EVENT)

Count: 17 concepts (8.5%)

Concepts:

• 1. Employee Event Streams
• 1. Event Logs
• 1. Universal Timestamps
• 1. Event Normalization
• 1. Event Enrichment
• 1. Email Event Streams
• 1. Chat Event Streams
• 1. Device Activity Logs
• 1. Desktop Activity
• 1. Mobile Device Events
• 1. Software Application Logs
• 1. Calendar Events
• 1. Meeting Patterns
• 1. Login and Logout Events
• 1. Business Process Mining
• ...and 2 more

Graph Modeling (GMOD)

Count: 13 concepts (6.5%)

Concepts:

• 1. Graph Data Model
• 1. Nodes
• 1. Edges
• 1. Node Properties
• 1. Edge Properties
• 1. Directed Graphs
• 1. Undirected Graphs
• 1. Directed Acyclic Graphs
• 1. Weighted Edges
• 1. Graph Schema Design
• 1. Property Graph Model
• 1. Graph Query Language
• 1. Cypher Query Language

Reporting and Dashboards (RPTDASH)

Count: 10 concepts (5.0%)

Concepts:

• 1. Reporting
• 1. Operational Reports
• 1. Executive Dashboards
• 1. Dashboard Design
• 1. Data Visualization
• 1. Real-time Discovery
• 1. Pattern Detection
• 1. Anomaly Detection
• 1. Trend Analysis
• 1. Alerting Systems

Capstone and Integration (CAPST)

Count: 10 concepts (5.0%)

Concepts:

• 1. Graph Library Design
• 1. Reusable Graph Queries
• 1. API Integration
• 1. Detecting AI Events
• 1. AI-generated Content
• 1. Building a Graph Library
• 1. End-to-end Pipeline
• 1. Organizational Health Score
• 1. Benchmarking
• 1. Continuous Improvement

Data Pipelines (DPIPE)

Count: 9 concepts (4.5%)

Concepts:

• 1. Staging Areas
• 1. ETL for Graph Data
• 1. Data Ingestion Pipelines
• 1. Batch Loading
• 1. Stream Processing
• 1. Real-time Data Ingestion
• 1. Latency Management
• 1. Data Quality Checks
• 1. Deduplication

Ethics and Privacy (ETHIC)

Count: 9 concepts (4.5%)

Concepts:

• 1. Ethics of Privacy
• 1. Data Consent
• 1. Employee Data Rights
• 1. Anonymization
• 1. Pseudonymization
• 1. Privacy by Design
• 1. Ethical Frameworks
• 1. Bias in Analytics
• 1. Transparency in Analytics

Foundation Concepts (FOUND)

Count: 7 concepts (3.5%)

Concepts:

• 1. Organizational Analytics
• 1. Human Resources Data
• 1. HRIS
• 1. Relational Databases
• 1. Relational Database Limits
• 1. Graph Databases
• 1. Graph vs Relational

Security (SECUR)

Count: 6 concepts (3.0%)

Concepts:

• 1. Security
• 1. Role-based Access Control
• 1. Data Encryption
• 1. Audit Trails
• 1. Record Retention
• 1. Data Minimization

Graph Performance (GPERF)

Count: 3 concepts (1.5%)

Concepts:

• 1. Graph Database Performance
• 1. Indexing in Graphs
• 1. Graph Scalability

Recommendations

• ✅ Good balance: Categories are reasonably distributed (spread: 15.0%)
• ✅ MISC category minimal: Good categorization specificity

Educational Use Recommendations

• Use taxonomy categories for color-coding in graph visualizations
• Design curriculum modules based on taxonomy groupings
• Create filtered views for focused learning paths
• Use categories for assessment organization
• Enable navigation by topic area in interactive tools

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