BiVA : Bitcoin network visualization & analysis

• Main Authors: Oggier, Frédérique, Phetsouvanh, Silivanxay, Datta, Anwitaman
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: Bitcoin Forensics; Graph Analysis; DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/88895; http://hdl.handle.net/10220/48917; https://doi.org/10.21979/N9/FHBR2E
• Institution: Nanyang Technological University

We showcase a graph mining tool, BiVA, for visualization and analysis of the Bitcoin network. It enables data exploration, visualization of subgraphs around nodes of interest, and integrates both standard and new algorithms, including a general algorithm for flow based clustering for directed graphs, and other Bitcoin network specific wallet address aggregation mechanisms. The BiVA user interface makes it easy to get started with a basic visualization that gives insights into nodes of interests, and the tool is modular, allowing easy integration of new algorithms. Its functionalities are demonstrated with a case study of extortion of Ashley Madison data breach victims.