🕵️ Graph Fraud Detection Techniques

Detect fraud patterns using advanced graph algorithms - Visualize, Analyze, and Identify Suspicious Activities

🎯 Detection Method

Community Detection Centrality Analysis Similarity Matching Anomaly Detection Pattern Matching

📊 Graph Parameters

Nodes 50 Edges 75

🔍 Threshold

Fraud Score 0.7 Algorithm Louvain Label Propagation Betweenness PageRank

📈 Fraud Network Graph

50 nodes 75 edges 12 suspicious

👥

Community Detection

Find fraud rings and collusion groups by detecting densely connected communities

Accuracy: 89% Speed: Fast Fraud Rings

🎯

Centrality Analysis

Identify influential fraudsters and money mules using network centrality

Accuracy: 92% Speed: Medium Key Players

🔄

Similarity Matching

Detect synthetic identities and account takeover through pattern matching

Accuracy: 87% Speed: Slow Synthetic IDs

⚠️

Anomaly Detection

Spot unusual patterns and outliers in transaction networks

Accuracy: 94% Speed: Fast Outliers

🔍

Pattern Matching

Detect known fraud patterns like money laundering and circular trading

Accuracy: 91% Speed: Medium Known Patterns

🔴 Common Fraud Patterns Detected

Analyzing network...

📊 Detection Results

Just now

0

Suspicious Nodes

0

Fraud Rings

0

Avg Fraud Score

0%

Precision

🚨 Top Suspicious Entities

🔒 Educational Tool - Simulates fraud detection algorithms for learning purposes