Knowledge Graph Visual Maps

Visual representations of the major knowledge clusters and their connections in this digital garden.

Master Knowledge Map

graph TB
    KM[Knowledge Map<br/>Central Hub]

    %% Main Domains
    KM --> LD[ Learning &<br/>Development]
    KM --> PG[ Professional<br/>Growth]
    KM --> HW[ Health &<br/>Wellness]
    KM --> PS[ Productivity<br/>Systems]
    KM --> KS[ Knowledge<br/>Systems]

    %% Learning Cluster
    LD --> SM[Skills Matrix]
    LD --> LA[Learning Atlas]
    LD --> DP[Deliberate Practice]
    LD --> AL[Active Learning]
    LD --> SDH[Skills Development Hub]

    %% Professional Cluster
    PG --> CM[Career Map]
    PG --> LS[Leadership Skills]
    PG --> CS[Communication Skills]
    PG --> IPH[Interview Prep Hub]
    PG --> PWH[Professional Writing Hub]

    %% Health Cluster
    HW --> HM[Health Map]
    HW --> SL[Sleep]
    HW --> EX[Exercise]
    HW --> NT[Nutrition]
    HW --> MH[Mental Health]

    %% Productivity Cluster
    PS --> PSH[Productivity Systems Hub]
    PS --> GTD[Getting Things Done]
    PS --> BJ[Bullet Journal]
    PS --> AH[Atomic Habits]
    PS --> FL[Flow States]

    %% Knowledge Systems Cluster
    KS --> DG[Digital Gardening]
    KS --> ZK[Zettelkasten]
    KS --> PSum[Progressive Summarization]
    KS --> KO[Knowledge Organization]

    %% Cross-Domain Connections
    DP -.-> FL
    CS -.-> LS
    AH -.-> HW
    LA -.-> KO
    SM -.-> CM

    style KM fill:#f9f,stroke:#333,stroke-width:4px
    style SDH fill:#bbf,stroke:#333,stroke-width:2px
    style IPH fill:#bbf,stroke:#333,stroke-width:2px
    style PWH fill:#bbf,stroke:#333,stroke-width:2px
    style PSH fill:#bbf,stroke:#333,stroke-width:2px

An illustrative overview links the Learning, Knowledge and Work domains. A magnified local map focuses on learning: a target guides practice, practice produces feedback, and feedback revises the target. It is not an audit of the actual garden graph. — An overview helps choose a domain; a local concept map exposes a question and its relationships. Conceptual example based on macro/micro maps and feedback-guided practice, not measured garden connectivity. Original diagram based on Novak and Cañas, Institute for Human and Machine Cognition, The Theory Underlying Concept Maps and How to Construct and Use Them; Ericsson and Harwell, Frontiers in Psychology, Deliberate Practice and Proposed Limits on the Effects of Practice on the Acquisition of Expert Performance (2019).

Career Development Network

graph LR
    CD[Career<br/>Development]

    CD --> SA[Skills<br/>Assessment]
    CD --> GP[Goal<br/>Planning]
    CD --> LC[Learning<br/>Continuous]
    CD --> NW[Networking]

    SA --> SM[Skills Matrix]
    SA --> SF[Skills Framework]

    GP --> CGF[Career Goals<br/>Framework]
    GP --> CRM[Career Roadmap]

    LC --> LP[Learning Plan]
    LC --> LL[Learning Log]

    NW --> PS[Personal Brand]
    NW --> NET[Networking]

    %% Interview Branch
    CD --> INT[Interview<br/>Excellence]
    INT --> BI[Behavioral<br/>Interviews]
    INT --> CI[Case<br/>Interviews]
    INT --> STAR[STAR Method]
    INT --> IP[Interview<br/>Presence]

    style CD fill:#ffd,stroke:#333,stroke-width:3px
    style INT fill:#dff,stroke:#333,stroke-width:2px

Knowledge Synthesis Web

                    ┌─────────────────┐
                    │ Knowledge       │
                    │ Synthesis       │
                    └────────┬────────┘
                             │
        ┌────────────────────┼────────────────────┐
        │                    │                    │
        ▼                    ▼                    ▼
┌───────────────┐    ┌───────────────┐    ┌───────────────┐
│ Learning +    │    │ Productivity  │    │ Leadership +  │
│ Career Dev    │    │ + Health      │    │ Communication │
└───────┬───────┘    └───────┬───────┘    └───────┬───────┘
        │                    │                    │
        ▼                    ▼                    ▼
   Growth Loop         Performance         Influence
   Framework           Integration         Mastery

Note Maturity Distribution

Evergreen ████████████████████ 40%
Seedling ████████████ 25%
Seed ████████ 15%
Untagged ██████████ 20%

Connection Density Map

High Density Areas (>10 connections)

Knowledge Map
Career Map
Health Map
Skills Development Hub
Interview Preparation Hub

Medium Density Areas (5-10 connections)

Leadership Skills
Communication Skills
Learning Atlas
Digital Gardening
Productivity Systems Hub

Growth Areas (<5 connections)

Daily Notes
Book References
Project Notes
Template Files

Domain Interaction Matrix

Domain	Learning	Career	Health	Productivity	Knowledge
Learning	Core	High	Medium	High	High
Career	High	Core	Low	Medium	Medium
Health	Medium	Low	Core	High	Low
Productivity	High	Medium	High	Core	High
Knowledge	High	Medium	Low	High	Core

Implementation Priority Map

quadrantChart
    title Knowledge Graph Enhancement Priorities
    x-axis Low Impact --> High Impact
    y-axis Low Effort --> High Effort
    quadrant-1 Quick Wins
    quadrant-2 Major Projects
    quadrant-3 Low Priority
    quadrant-4 Strategic Initiatives

    "Link Daily Notes": [0.3, 0.2]
    "Connect Book Notes": [0.4, 0.3]
    "Create Topic Indexes": [0.7, 0.3]
    "Build Synthesis Docs": [0.8, 0.7]
    "Implement Dataview": [0.6, 0.5]
    "Graph Visualization": [0.5, 0.8]
    "Template Automation": [0.7, 0.4]
    "AI-Powered Linking": [0.9, 0.9]

Growth Trajectory

Month 1: Foundation
├── Create hub notes (done)
├── Link orphaned notes (done)
└── Establish routines (done)

Month 2: Expansion
├── Deepen connections
├── Add synthesis notes
└── Implement tools

Month 3: Optimization
├── Automate workflows
├── Refine structure
└── Measure impact

Month 4+: Evolution
├── Emergent patterns
├── Advanced synthesis
└── Knowledge creation

Visual Legend

Solid Lines: Direct connections
Dotted Lines: Indirect/weak connections
Bold Borders: Hub notes
Colors:
- Purple: Central hubs
- Blue: Domain hubs
- Yellow: Active development
- Green: Stable/evergreen

Use these visual maps to navigate and understand the structure of your knowledge garden. Update regularly as the graph evolves.