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Detecting Cryptocurrency Fraud with Neo4j

Blog post from Neo4j

Post Details
Company
Date Published
Author
Christian Miles
Word Count
1,135
Language
English
Hacker News Points
-
Summary

As cryptocurrency continues to play a significant role in the future of finance, understanding patterns and outliers in Bitcoin transactions is crucial for link analysts. Graph technologies, particularly Neo4j's highly scalable graph database, complement each other perfectly with powerful graph visualization toolkit technology, such as KeyLines. By visualizing Bitcoin data, analysts can identify distinct shapes and patterns, including unusual transaction patterns centered around specific addresses. Understanding the nature of Bitcoin transactions helps fraud analysts identify patterns more easily, while customizing nodes and using styling techniques provide a clearer layout. The tool can also reveal insights that'd be hard to detect in an unintelligible list of anonymous transactions, making it perfect for spotting patterns and anomalies in intuitive and interactive ways.