Taxonomy Distribution Report

Overview

• Total Concepts: 200
• Number of Taxonomies: 13
• Average Concepts per Taxonomy: 15.4

Distribution Summary

Visual Distribution

Blockchain Ecosystem      ██████  27 ( 13.5%)
Architecture Tradeoff Ana ██████  24 ( 12.0%)
Distributed Ledger Techno ████  18 (  9.0%)
Consensus and Mining      ████  17 (  8.5%)
Cognitive Bias and Thinki ████  17 (  8.5%)
Decision and Implementati ████  16 (  8.0%)
Cryptography Essentials   ███  15 (  7.5%)
Cost and Economics        ███  14 (  7.0%)
Public Key Infrastructure ███  13 (  6.5%)
Case Studies and Use Case ███  13 (  6.5%)
Emerging Technologies     ██  11 (  5.5%)
Scalability and Networks  ██   9 (  4.5%)
Foundation Concepts       █   6 (  3.0%)

Balance Analysis

✅ No Over-Represented Categories

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

Category Details

Blockchain Ecosystem (ECOSS)

Count: 27 concepts (13.5%)

Concepts:

• 1. Smart Contract
• 1. Smart Contract Risks
• 1. Oracle Problem
• 1. Gas and Fees
• 1. Token
• 1. Fungible Token
• 1. Non-Fungible Token
• 1. Tokenization
• 1. Wallet
• 1. Cold Storage
• 1. Hot Wallet
• 1. Permissioned Blockchain
• 1. Permissionless Blockchain
• 1. Public Blockchain
• 1. Private Blockchain
• ...and 12 more

Architecture Tradeoff Analysis (ATAM)

Count: 24 concepts (12.0%)

Concepts:

• 1. Architecture
• 1. Architecture Tradeoff
• 1. ATAM Overview
• 1. Quality Attribute
• 1. Quality Attribute Scenario
• 1. Utility Tree
• 1. Utility Tree Construction
• 1. Sensitivity Point
• 1. Tradeoff Point
• 1. Risk Theme
• 1. Architecture Risk
• 1. Risk Identification
• 1. Risk Mitigation
• 1. Scenario Generation
• 1. Stakeholder Analysis
• ...and 9 more

Distributed Ledger Technology (DLT)

Count: 18 concepts (9.0%)

Concepts:

• 1. Decentralized Trust
• 1. Distributed System
• 1. Distributed Ledger
• 1. Ledger Replication
• 1. Immutability
• 1. Append-Only Data
• 1. Blockchain Definition
• 1. Block Structure
• 1. Block Header
• 1. Block Body
• 1. Genesis Block
• 1. Transaction
• 1. Transaction Validation
• 1. Transaction Throughput
• 1. Mempool
• ...and 3 more

Consensus and Mining (CONS)

Count: 17 concepts (8.5%)

Concepts:

• 1. Mining
• 1. Miner
• 1. Mining Reward
• 1. Difficulty Adjustment
• 1. Nonce
• 1. Consensus Mechanism
• 1. Proof of Work
• 1. Proof of Stake
• 1. Delegated Proof of Stake
• 1. Byzantine Fault Tolerance
• 1. Byzantine Generals Problem
• 1. Practical BFT
• 1. Finality
• 1. Fork
• 1. Hard Fork
• ...and 2 more

Cognitive Bias and Thinking (BIAS)

Count: 17 concepts (8.5%)

Concepts:

• 1. Cognitive Bias
• 1. Confirmation Bias
• 1. Sunk Cost Fallacy
• 1. Bandwagon Effect
• 1. Appeal to Novelty
• 1. Anchoring Bias
• 1. Status Quo Bias
• 1. Dunning-Kruger Effect
• 1. Halo Effect
• 1. Survivorship Bias
• 1. Availability Heuristic
• 1. Groupthink
• 1. Bias Checklist
• 1. Debiasing Techniques
• 1. Critical Thinking
• ...and 2 more

Decision and Implementation (DECIDE)

Count: 16 concepts (8.0%)

Concepts:

• 1. Technology Readiness Level
• 1. Decision Flowchart
• 1. Hybrid Architecture
• 1. Organizational Challenges
• 1. Stakeholder Buy-In
• 1. Change Management
• 1. Technology Evaluation
• 1. Vendor Assessment
• 1. Proof of Concept
• 1. Pilot Program
• 1. Implementation Roadmap
• 1. Architecture Report
• 1. Decision Framework
• 1. Recommendation Writing
• 1. Presentation to Management
• ...and 1 more

Cryptography Essentials (CRYPT)

Count: 15 concepts (7.5%)

Concepts:

• 1. Encryption
• 1. Symmetric Encryption
• 1. Asymmetric Encryption
• 1. Public Key
• 1. Private Key
• 1. Key Pair Generation
• 1. Digital Signature
• 1. Hash Function
• 1. Cryptographic Hash
• 1. SHA-256
• 1. Hash Chain
• 1. Merkle Tree
• 1. Data Integrity
• 1. Tamper Evidence
• 1. Non-Repudiation

Cost and Economics (COST)

Count: 14 concepts (7.0%)

Concepts:

• 1. Computational Cost
• 1. Energy Consumption
• 1. Network Cost Analysis
• 1. Transaction Cost
• 1. Total Cost of Ownership
• 1. Cost Projection Model
• 1. Cost Simulation
• 1. Cost-Benefit Analysis
• 1. Break-Even Analysis
• 1. Operating Expense
• 1. Capital Expense
• 1. Infrastructure Cost
• 1. Cloud vs On-Premise
• 1. Vendor Lock-In

Public Key Infrastructure (PKI)

Count: 13 concepts (6.5%)

Concepts:

• 1. Authentication
• 1. Authorization
• 1. Identity Verification
• 1. Certificate Authority
• 1. Public Key Infrastructure
• 1. X.509 Certificate
• 1. Certificate Chain
• 1. Root Certificate
• 1. Certificate Revocation
• 1. CA Vulnerabilities
• 1. CA Compromise Scenarios
• 1. Trust Anchor
• 1. Centralized Trust

Case Studies and Use Cases (CASE)

Count: 13 concepts (6.5%)

Concepts:

• 1. Supply Chain Use Case
• 1. Healthcare Use Case
• 1. Financial Services Use Case
• 1. E-Commerce Use Case
• 1. Retail Use Case
• 1. Case Study Analysis
• 1. Successful Adoption Factors
• 1. Failed Project Analysis
• 1. Blockchain Limitations
• 1. When Not to Use Blockchain
• 1. Alternative Technologies
• 1. Centralized Database
• 1. Traditional PKI vs DLT

Emerging Technologies (EMRG)

Count: 11 concepts (5.5%)

Concepts:

• 1. Zero-Knowledge Proof
• 1. Verifiable Credential
• 1. Decentralized Identifier
• 1. Self-Sovereign Identity
• 1. Post-Blockchain Tech
• 1. Emerging Trust Tech
• 1. Privacy
• 1. Data Sovereignty
• 1. Regulatory Compliance
• 1. GDPR and Blockchain
• 1. Right to Be Forgotten

Scalability and Networks (SCALE)

Count: 9 concepts (4.5%)

Concepts:

• 1. Network Latency
• 1. Scalability
• 1. Scalability Trilemma
• 1. Throughput vs Latency
• 1. On-Chain vs Off-Chain
• 1. Layer 1
• 1. Layer 2 Solutions
• 1. State Channel
• 1. Sidechain

Foundation Concepts (FOUND)

Count: 6 concepts (3.0%)

Concepts:

• 1. Trust
• 1. Digital Trust
• 1. Network Fundamentals
• 1. Internet Architecture
• 1. Client-Server Model
• 1. Peer-to-Peer Networks

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 10.5%)
• ✅ 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

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