Concept Map

A flexible, cross-linked knowledge graph that visualizes relationships between concepts via connecting words.

🎯 What Problem It Solves

When learning a complex subject or design, mind maps are too hierarchical. Concept maps allow arbitrary networks to show relationships clearly.

🧠 Thinking Logic & Core Concepts

Unlike tree structures, a concept map is a free-form network. Connections have linking words that form 'proposition' triplets (e.g., [Water] --(can turn into)--> [Steam]), which are the building blocks of human understanding.

📋 Newbie Step-by-Step Guide

1. Focus Question: State the main topic (e.g., What is Machine Learning?).
2. List Concepts: Note down key concepts on the canvas.
3. Arrange Hierarchically: Place general concepts at the top and specific ones below.
4. Add Linking Words: Draw arrows and label them with actions or descriptors.
5. Optimize: Connect cross-links to make the network compact.

💡 Classic Example

[Causal Logic System Case]

• Nodes: Causal System, Logic Tree, Nodes, Connections, Auto-layout, ELK Layout.
• Links: [Causal System] --(contains)--> [Logic Tree]; [Logic Tree] --(composed of)--> [Nodes]; [Auto-layout] --(uses)--> [ELK Layout].