View Live Demo → https://josh-gi3r.github.io/ConnectMap/
An interactive business network visualization platform that maps complex personal relationships using advanced graph algorithms and data analytics.
Note: This is an MVP demo with simulated data. Production APIs and algorithms are not included in this public repository.
ConnectMap is a professional network analysis platform that maps and analyzes anyone's professional relationships, connections, and influence patterns. Originally built as a personal exploration into social network theory and relationship intelligence for business research.
- Interactive Network Mapping - Drag, zoom, and explore professional relationship networks
- Multi-Degree Analysis - Visualize 1st, 2nd, 3rd, and 4th degree connections
- Relationship Intelligence - Connection strength analysis and relationship types
- Influence Scoring - Algorithmic assessment of network influence and reach
- Dynamic Filtering - Filter by industry, connection strength, geographic location
- Force-Directed Layouts - Physically accurate relationship positioning with organic spread
- Dark/Light Mode - Professional themes for any research environment
- Responsive Design - Works seamlessly across all devices
- Executive Recruitment: Assess candidates' professional network reach and industry connections
- Investment Due Diligence: Analyze founders' and key personnel's relationship networks and influence
- Business Development: Map connection paths to target companies and decision makers
- Competitive Intelligence: Understand competitor networks and key relationships
- Partnership Strategy: Identify optimal introduction paths and mutual connections
- Journalism & Investigation: Research subject's professional relationships and influences
- Sales Intelligence: Map prospect networks and find warm introduction opportunities
🌐 Try ConnectMap Live Demo: https://josh-gi3r.github.io/ConnectMap/
Experience the full interactive network analysis platform with:
- Connection Path Finding - Discover how any two people are connected
- Influence Sphere Analysis - Visualize network reach and influence patterns
- Smart Search & Filtering - Find people by name, company, or industry
- Company Clustering - Group relationships by organizational boundaries
- Interactive Network Physics - Drag people around and explore connections
- Live API connections to professional networks (LinkedIn, Crunchbase, etc.)
- Advanced relationship scoring and influence algorithms
- Real-time professional data integration and enrichment
- Enhanced privacy controls and data protection layers
- Comprehensive network analytics and business intelligence reporting
- Frontend: Vanilla JavaScript, D3.js v7, SVG/Canvas rendering
- Visualization: Force-directed graph algorithms, custom physics engine
- Styling: CSS3 with glassmorphism effects, responsive design
- APIs: Hidden in production - See
.env.example
connectmap/
├── index.html # Main application interface
├── styles/ # CSS modules and themes
├── scripts/ # Core JavaScript modules
├── algorithms/ # 🔒 Proprietary network algorithms (hidden)
├── api-integrations/ # 🔒 Live data connectors (hidden)
├── assets/ # Icons, images, demo data
├── .env.example # Environment variables template
└── README.md # This file
-
Clone the repository
git clone https://github.com/josh-gi3r/ConnectMap.git cd ConnectMap -
Open in browser
# Simple local server python -m http.server 8000 # Or use Live Server extension in VS Code
-
Explore the demo
- Drag companies around the network
- Click bubbles for detailed company information
- Use filters to explore by industry
- Add random companies to see network evolution
Our experimental force-directed algorithm optimizes person positioning based on:
- Relationship Strength - Close friends vs professional acquaintances
- Industry Clustering - People in similar fields naturally group together
- Mutual Connections - Shared contacts influence positioning
- Geographic Proximity - Location-aware relationship mapping
Relationship scoring system analyzes:
- Direct professional connections (colleagues, clients)
- Social relationships (friends, mentors, alumni networks)
- Interaction frequency and communication patterns
- Mutual contacts and introduction paths
- Industry overlap and career progression patterns
Full algorithm implementations represent experimental concepts and research directions.
The complete concept includes additional experimental capabilities:
- LinkedIn API integration for professional profiles
- Social media relationship mapping
- Contact list analysis and enrichment
- Professional directory connections
- Alumni network integration
- Relationship strength prediction models
- Network influence scoring
- Introduction path optimization
- Connection opportunity identification
- Professional network growth insights
- Granular privacy controls
- Secure data encryption
- User consent management
- Professional network etiquette
- GDPR compliance features
// Custom color schemes
const customTheme = {
primaryColor: '#your-brand-color',
industry: {
tech: '#00d4ff',
finance: '#64ffda',
healthcare: '#ff6b6b'
}
};// Connect your data sources
const networkConfig = {
dataSource: 'your-api-endpoint',
updateInterval: 30000, // 30 seconds
algorithms: 'enhanced' // Enterprise feature
};- Rendering: Handles 1000+ nodes at 60fps
- Data Processing: Real-time updates with <100ms latency
- Memory Usage: Optimized for large datasets (10k+ companies)
- Cross-browser: Chrome, Firefox, Safari, Edge support
This demo showcases core visualization concepts. Interested in collaborating or discussing implementation ideas?
- Personal CRM: Track and nurture professional relationships
- Career Development: Identify networking opportunities and mentors
- Team Building: Visualize team connections and communication patterns
- Recruitment: Map candidate networks and referral paths
- Alternative social graph algorithms
- Privacy-preserving relationship analysis
- Mobile-first network visualization
- Real-time collaboration features
- Node.js 16+
- Modern browser with ES6 support
- Access to business intelligence APIs (production only)
# Copy example environment file
cp .env.example .env
# Core Professional Network APIs
LINKEDIN_SALES_NAVIGATOR_API=your_linkedin_sales_api_key
CRUNCHBASE_ENTERPRISE_API=your_crunchbase_enterprise_key
CLEARBIT_PERSON_API=your_clearbit_person_enrichment_key
# Business Intelligence Sources
PITCHBOOK_API_TOKEN=your_pitchbook_data_access
APOLLO_IO_API=your_apollo_professional_database
ZOOMINFO_API_KEY=your_zoominfo_enterprise_key
# Social & Professional Graph APIs
GITHUB_TOKEN=your_github_api_token
TWITTER_API_V2_BEARER=your_twitter_enterprise_bearer
# Data Enrichment & Verification
FULL_CONTACT_API_KEY=your_fullcontact_api_key
PEOPLEDATALABS_API_KEY=your_people_data_labs_key
# News & Intelligence Sources
NEWS_API_KEY=your_news_api_key
GOOGLE_NEWS_API=your_google_news_key- API Reference (Implementation notes)
- Algorithm Details (Technical specifications)
- Integration Guide
- Performance Benchmarks
Our experimental models analyze:
- Communication patterns and frequency
- Professional career progression paths
- Mutual connection introduction likelihood
- Industry networking behavior patterns
- Introduction opportunity scoring
- Professional development path suggestions
- Networking event recommendations
- Career mentor identification
Current explorations:
- Social Graph Analysis - Algorithm development for relationship mapping
- Privacy-First Networking - Secure personal network visualization
- Mobile Network Interfaces - Touch-optimized relationship exploration
- Real-time Collaboration - Shared network building and insights
⚡ Personal project by Josh Gier ⚡
Experimental network visualization concepts for business relationship mapping.