【Author】
Oggier, Frederique; Phetsouvanh, Silivanxay; Datta, Anwitaman
【Source】2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW)
【Abstract】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.
【摘要】我们展示了一个图形挖掘工具BiVA，用于比特币网络的可视化和分析。它支持数据探索、感兴趣节点周围子图的可视化，并集成了标准和新算法，包括用于有向图的基于流的聚类的通用算法，以及其他比特币网络特定的钱包地址聚合机制。BiVA用户界面使您可以轻松地开始使用基本的可视化，从而洞察感兴趣的节点，该工具是模块化的，允许轻松集成新算法。它的功能是演示了一个案例研究勒索Ashley Madison数据泄露受害者。
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