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BitConduite: Exploratory Visual Analysis of Entity Activity on the Bitcoin Network.
IEEE Computer Graphics and Applications ( IF 1.8 ) Pub Date : 2021-04-13 , DOI: 10.1109/mcg.2021.3070303
Christoph Kinkeldey 1 , Jean-Daniel Fekete 2 , Tanja Blascheck 3 , Petra Isenberg 4
Affiliation  

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 non-technical 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:

BitConduite:比特币网络上的实体活动的探索性可视分析。

我们介绍了BitConduite,这是一种可视分析方法,用于对比特币网络内的金融活动进行探索性分析,提供有关实体(即个人,公司或其他积极使用比特币的团体)聚合的交易的视图。BitConduite通过围绕多个活动指标分析的实体的引导工作流,使非技术专家可以访问比特币数据。可以从大型实体组到单个实体,进行不同规模的分析。BitConduite还使分析师能够对实体进行聚类,以识别相似活动的组,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。
更新日期:2021-04-13
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