摘要
1 Introduction A Bitcoin ledger comprises a sizable number of transaction records,which can be utilized to make it easier to track and analyze the traits and patterns of cryptocurrency-related transactions.To facilitate the visual analysis of Bitcoin,numerous tools with various aims have been developed.For example,MiningVis[1]and SuPoolVisor[2]are the analytics systems for Bitcoin mining pools,as well as[3-5]focus on the Bitcoin transaction graphs analysis.However,due to our previous research requirements for Bitcoin transaction graphs,none of the available tools can provide exploring the features of connection related to the address and observe significant visual patterns.Specifically,using these tools is challenging to navigate to abnormal node clusters effortlessly from large node groups and then analyze the local interlink characteristics between transaction nodes with interactive analytics.
基金
supported by the CCF-NSFOCUS Kun-Peng Scientific Research Fund(No.CCF-NSFOCUS2021008)
the Provincial Key Research and Development Program of Hubei(No.2020BAB105)
the National Natural Science Foundation of China(Grant No.61972366),the Knowledge Innovation Program of Wuhan-Basic Research(No.2022010801010197)
the Foundation of Hubei Key Laboratory of Intelligent Geo-Information Processing(No.KLIGIP-2021B06)
the Opening Project of Nanchang Innovation Institute,Peking University(No.NCII2022A02)
The work of K.-K.R.Choo was supported only by the Cloud Technology Endowed Professorship.
