We present BitConduite, a visual analytics approach for explorative analysis of financial activity within the Bitcoin network, offering a view on transactions aggregated by entities, i.e., by individuals, companies, or other groups actively using Bitcoin. BitConduite makes Bitcoin data accessible to nontechnical experts through a guided workflow around entities analyzed according to several activity metrics. Analyses can be conducted at different scales, from large groups of entities down to single entities. BitConduite also enables analysts to cluster entities to identify groups of similar activities as well as to explore characteristics and temporal patterns of transactions. To assess the value of our approach, we collected feedback from domain experts.

中文翻译：

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BitConduite：比特币网络上实体活动的探索性可视化分析

我们展示了 BitConduite，这是一种用于探索性分析比特币网络内的金融活动的可视化分析方法，提供由实体（即积极使用比特币的个人、公司或其他团体）聚合的交易的视图。BitConduite 通过围绕根据多个活动指标分析的实体的指导工作流，使非技术专家可以访问比特币数据。分析可以在不同的规模上进行，从大型实体组到单个实体。BitConduite 还使分析师能够对实体进行聚类，以识别类似活动的组，并探索交易的特征和时间模式。为了评估我们方法的价值，我们收集了领域专家的反馈。