Graph View Guide

Master the art of visual navigation in your darukavana vault

Related: Master MOC โ€ข Navigation guides and structure

๐ŸŽฏ What is Graph View?

The graph view in Obsidian shows your notes as nodes and links as connections, creating a visual map of your knowledge. This helps you:

  • Discover unexpected connections
  • Identify knowledge clusters
  • Find orphaned notes
  • Visualize the structure of your thinking

๐Ÿ” How to Access Graph View

  1. Local Graph: Right-click any note โ†’ โ€œOpen local graphโ€
  2. Global Graph: Command palette โ†’ โ€œGraph view: Openโ€ or use hotkey
  3. Sidebar: Add graph view to left/right sidebar for persistent access

โš™๏ธ Essential Settings

Filters

  • Tags: Show/hide specific tags (#ai, research, daily-note)
  • File Types: Focus on markdown files, exclude images
  • Path: Show only specific folders (e.g., only research/ or startups/)

Groups

Color-code different types of content:

Research: #research, #ai, #mechanistic-interpretability
Projects: #projects, #startups, #vayuputra
Personal: #journal, #daily-note, #personal
Learning: #learning, #ai, #dsa
Creative: #writing, #poetry, #music

Forces

  • Link Force: How strongly connected notes attract
  • Repel Force: How much unconnected notes push apart
  • Link Distance: Length of connection lines
  • Center Force: Pull toward center

๐ŸŽจ Visual Interpretation

Node Sizes

  • Large nodes: Highly connected notes (usually MOCs or index files)
  • Medium nodes: Well-connected content notes
  • Small nodes: Less connected or newer notes

Connection Patterns

  • Dense clusters: Related topics or projects
  • Bridge nodes: Important connectors between different areas
  • Isolated nodes: Orphaned content that needs more connections

Color Coding

  • Default: Regular notes
  • Orange: Files with unresolved links
  • Purple: Attachments and images
  • Custom: Based on your group settings

๐Ÿงญ Navigation Techniques

Effective Browsing

  1. Start with major hubs: Look for large nodes like MOC, index, tracker
  2. Follow clusters: Explore dense connection areas
  3. Check orphans: Visit isolated nodes to add connections
  4. Use search: Combined with graph view for targeted exploration

Advanced Techniques

  • Hover preview: See note content without opening
  • Multi-select: Select multiple nodes to see their connections
  • Zoom patterns: Pull back for overview, zoom in for details
  • Time navigation: Some plugins show temporal connections

๐ŸŽฏ Common Use Cases

Knowledge Discovery

AI Learning โ†’ Research Papers โ†’ Practical Projects
     โ†‘              โ†‘                    โ†‘
 Daily Notes โ† Insights โ† Implementation

Project Mapping

  • See how projects connect to people, resources, and goals
  • Identify missing links between related work
  • Track project evolution over time

Content Audit

  • Find notes with too few connections
  • Identify over-connected hub files that might need splitting
  • Discover content gaps in knowledge areas

๐Ÿ“Š Graph Patterns to Recognize

Healthy Vault Indicators

  • Balanced clusters: Not too dense, not too sparse
  • Multiple hubs: Various index files and MOCs
  • Cross-connections: Links between different domains
  • Growing edges: New connections forming regularly

Warning Signs

  • Isolated islands: Unconnected knowledge clusters
  • Single hub dominance: One mega-node connecting everything
  • Linear chains: Long sequences without loops
  • Dead ends: Many one-way connections

๐Ÿ› ๏ธ Optimization Strategies

Regular Maintenance

  • Weekly: Check for new orphan nodes
  • Monthly: Review cluster health and connections
  • Quarterly: Major structural reorganization
  • Yearly: Archive old connections, promote important ones

Best Practices

  1. Create hub notes for major topics
  2. Use descriptive link text for better visualization
  3. Balance connection density
  4. Regular pruning of obsolete connections
  5. Intentional linking based on actual relationships

๐ŸŒŸ Advanced Features

Plugins to Enhance Graph View

  • Neo4j Graph View: More advanced graph visualization
  • Graph Analysis: Calculate centrality and other metrics
  • Force Graph: 3D graph visualization
  • Journey: Create guided tours through connected notes

Integration with Other Tools

  • Export graph data for external analysis
  • Use graph patterns to inform folder structure
  • Generate connection reports
  • Create graph-based presentations

๐Ÿ’ก Practical Tips

For Different Note Types

  • MOCs: Should be highly connected hubs
  • Daily notes: Connect to projects and people
  • Research notes: Link to sources and applications
  • Project notes: Connect to timeline and resources

Customization Ideas

/* Custom CSS for graph view */
.graph-view.color-fill {
    /* Daily notes in blue */
    --color-tag-daily-note: #3b82f6;
    /* Projects in green */
    --color-tag-projects: #10b981;
    /* Research in purple */
    --color-tag-research: #8b5cf6;
}

๐ŸŽ“ Learning Exercise

Weekly Graph Review

  1. Open global graph view
  2. Identify the 3 most connected nodes
  3. Find 3 orphan nodes
  4. Create 1 new cross-domain connection
  5. Color-code one new category

Monthly Connection Challenge

  • Connect each orphan note to main network
  • Create at least 3 bi-directional links
  • Establish one new hub node for growing area
  • Review and optimize cluster density

๐Ÿ”ฎ Future Possibilities

AI-Enhanced Navigation

  • Suggest connections based on content
  • Automatic cluster detection
  • Semantic similarity mapping
  • Dynamic layout optimization

Advanced Visualization

  • Timeline overlays on graph
  • Strength indicators for connections
  • Path highlighting for workflows
  • Interactive filtering and querying

Last updated: {{date}} - Keep exploring the graph to discover new patterns

๐Ÿ“š Resources for Learning More