Discourse Graphs
Discourse Graphs provide a structured approach to mapping and analyzing conversations and viewpoints across decentralized communities. They enable collective sensemaking and coordinated problem-solving through standardized data structures.
Core Concepts
- Structured Mapping
- Conversation tracking
- Viewpoint identification
- Relationship mapping
- Pattern recognition
- Sensemaking Tools
- Convergence analysis
- Divergence tracking
- Consensus building
- Knowledge synthesis
- Coordination Framework
- Cross-community dialogue
- Viewpoint alignment
- Action coordination
- Resource allocation
Technical Implementation
- Data Structure
- Graph schema
- Node types
- Edge relationships
- Metadata framework
- Analysis Tools
- Pattern detection
- Sentiment analysis
- Consensus tracking
- Impact measurement
- Integration Layer
- Community systems
- Communication tools
- Knowledge bases
- Decision frameworks
Applications
- Community Coordination
- Discussion mapping
- Decision tracking
- Consensus building
- Action planning
- Knowledge Management
- Information organization
- Context preservation
- Relationship mapping
- Knowledge discovery
- Problem Solving
- Issue identification
- Solution development
- Impact assessment
- Implementation tracking
Features
- Visualization
- Graph rendering
- Relationship display
- Pattern highlighting
- Interactive exploration
- Analysis Tools
- Trend detection
- Sentiment tracking
- Influence mapping
- Impact assessment
- Integration Points
- Community platforms
- Knowledge bases
- Decision systems
- Action frameworks