Network Graph¶

Visualize token-wallet relationships and discover hidden connections.

Overview¶

The Network Graph feature allows you to explore the relationships between tokens and wallets on the Solana blockchain. Using interactive graph visualization, you can uncover patterns, identify suspicious networks, and understand how tokens and wallets are connected.

Access: app.chainsentinel.net/graph

What is a Network Graph?¶

A network graph is a visual representation of relationships where:

Nodes represent entities (tokens or wallets)
Edges represent connections (wallet created token, wallet holds token)
Colors indicate entity type and risk level

Getting Started¶

Basic Usage¶

Navigate to 🕸️ Network Graph in the sidebar
Enter a token address or wallet address in the search bar
Click "Generate Graph"
Explore the interactive visualization

Example Queries¶

Analyze a token:

EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v

Shows: Creator wallet, holder wallets, related tokens

Analyze a wallet:

7xKXtg2CW87d97TXJSDpbD5jBkheTqA83TZRuJosgAsU

Shows: Created tokens, held tokens, connected wallets

Graph Controls¶

Pan: Click and drag the background
Zoom: Mouse wheel or pinch gesture
Select Node: Click on any node
Deselect: Click on background

🔍 Search - Find specific nodes by address or label - Highlights matching nodes - Auto-focuses on first result

📐 Layout - Force-Directed: Physics-based layout (default) - Hierarchical: Tree-like structure - Circular: Nodes arranged in a circle - Radial: Nodes radiate from center

📥 Export - PNG: Screenshot of current view - SVG: Vector graphics (scalable) - JSON: Raw graph data - CSV: Node and edge lists

🎯 Path Finder - Find shortest path between two nodes - Visualizes connection chain - Shows path length and intermediate nodes

Node Types¶

Token Nodes (🪙)¶

Color Coding: - 🔴 Red: SCAM token (high confidence) - 🟠 Orange: SCAM token (medium confidence) - 🟢 Green: LEGIT token - ⚪ Gray: Unknown/Not analyzed

Node Information: - Symbol - Address (truncated) - Confidence score - Liquidity

Wallet Nodes (👛)¶

Color Coding: - 🔴 Red: Known scammer - 🟠 Orange: Suspicious (low reputation) - 🟡 Yellow: Neutral - 🟢 Green: Trusted (high reputation)

Node Information: - Address (truncated) - Reputation score - Number of tokens created - SCAM rate

Edge Types¶

Creator Edges (→)¶

Connects wallet to tokens it created.

Properties: - Direction: Wallet → Token - Color: Matches token risk level - Thickness: Indicates token liquidity

Holder Edges (⟷)¶

Connects wallet to tokens it holds.

Properties: - Direction: Bidirectional - Color: Gray (neutral) - Thickness: Indicates holding amount

Traversal Depth¶

Control how many levels of connections to explore:

Depth 1: Direct connections only

Wallet → Token (created)

Depth 2: Second-level connections

Wallet → Token → Other Holders

Depth 3: Third-level connections

Wallet → Token → Holder → Other Tokens

Performance

Higher depth = more nodes = slower rendering. Start with depth 1-2.

Path Finding¶

Find the shortest path between two entities:

Click "Path Finder" in toolbar
Enter Start Address (token or wallet)
Enter End Address (token or wallet)
Set Max Depth (1-10)
Click "Find Path"

Example:

Start: TokenA (SCAM)
End: WalletB (Known Scammer)

Path Found:
TokenA → WalletX (creator) → TokenB → WalletB (holder)

Use Cases: - Trace SCAM token to known scammer - Find connection between two suspicious wallets - Discover token laundering chains

Graph Analytics¶

Community Detection¶

Automatically identifies clusters of related entities:

Algorithm: Louvain method
Output: Color-coded communities
Use Case: Identify coordinated SCAM rings

Centrality Metrics¶

Measures node importance:

Degree Centrality: - Number of connections - High = hub node

Betweenness Centrality: - Number of shortest paths through node - High = bridge node

Closeness Centrality: - Average distance to all other nodes - High = central node

PageRank: - Importance based on connections - High = influential node

Anomaly Detection¶

Identifies suspicious patterns:

Isolated Nodes: - No connections - Possible test tokens

Star Patterns: - One wallet, many tokens - Possible token farm

Bridge Nodes: - Connects two communities - Possible money laundering

Cliques: - Fully connected group - Possible wash trading

Outliers: - Unusual connection patterns - Requires investigation

Advanced Features¶

Timeline Animation¶

Watch the graph evolve over time:

Click "Timeline" button
Use slider to select date range
Click "Play" to animate
Adjust speed (0.5x - 10x)

Shows: - When tokens were created - When connections formed - Evolution of SCAM networks

Subgraph Extraction¶

Extract specific portions of the graph:

By Type: - Only tokens - Only wallets - Only SCAM tokens

By Risk: - High-risk entities only - Low-risk entities only

By Centrality: - Top 10 most connected - Top 10 most influential

By Distance: - Within N hops from node

Use Cases¶

1. Investigate SCAM Token¶

Goal: Find who created it and what else they created

Steps: 1. Enter SCAM token address 2. Set depth to 2 3. Look for creator wallet (red edge) 4. Check other tokens from same wallet 5. Assess if it's a serial scammer

2. Analyze Wallet Reputation¶

Goal: Determine if wallet is trustworthy

Steps: 1. Enter wallet address 2. Set depth to 2 3. Count SCAM vs LEGIT tokens created 4. Check connections to known scammers 5. Review reputation score

3. Discover Token Laundering¶

Goal: Find how SCAM proceeds are moved

Steps: 1. Enter SCAM token address 2. Set depth to 3 3. Use Path Finder to trace to known scammer 4. Identify intermediate wallets 5. Report findings

4. Map SCAM Network¶

Goal: Identify coordinated SCAM ring

Steps: 1. Enter known scammer wallet 2. Set depth to 3 3. Enable Community Detection 4. Identify cluster of related wallets 5. Report entire network

Performance Tips¶

For Large Graphs¶

Start with depth 1, increase gradually
Use filters to reduce node count
Export to JSON for offline analysis
Use subgraph extraction

For Slow Rendering¶

Reduce depth
Filter by risk level
Use hierarchical layout (faster)
Close other browser tabs

Keyboard Shortcuts¶

Shortcut	Action
`Space`	Toggle physics simulation
`F`	Fit graph to screen
`+` / `-`	Zoom in/out
`R`	Reset view
`S`	Focus search bar
`E`	Export menu
`L`	Layout menu
`P`	Path finder

Troubleshooting¶

Graph not loading?¶

Possible causes: - Too many nodes (>1000) - Network timeout - Invalid address

Solutions: 1. Reduce traversal depth 2. Check address is valid 3. Try a different entity 4. Refresh the page

Graph is too cluttered?¶

Solutions: 1. Reduce depth to 1 2. Use filters (SCAM only, high-risk only) 3. Extract subgraph 4. Use hierarchical layout

Can't find a node?¶

Solutions: 1. Use Search feature (🔍) 2. Check spelling of address 3. Increase traversal depth 4. Node might not be connected

API Access¶

Access graph data programmatically:

import requests

API_KEY = "your_api_key"
headers = {"X-API-Key": API_KEY}

# Get graph data
response = requests.get(
    "https://api.chainsentinel.net/api/graph/EPjF...",
    params={"depth": 2},
    headers=headers
)

graph = response.json()
print(f"Nodes: {len(graph['nodes'])}")
print(f"Edges: {len(graph['edges'])}")

See API Reference for details.

Next Steps¶

🔗 Wallet Clusters - Automated cluster detection
🧠 Model Explainability - Understand AI decisions
📊 Dashboard - Return to main dashboard

Need Help?¶

📖 FAQ
💬 Telegram Community
📧 support@chainsentinel.net

Tip: The Network Graph is most powerful when combined with other Chain Sentinel features like Wallet Reputation and Known Scammer Database.