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Visualizing and Analyzing Entity Activity on the Bitcoin Network [article]

Christoph Kinkeldey, Jean-Daniel Fekete, Tanja Blascheck, Petra Isenberg
2019 arXiv   pre-print
We present BitConduite, a visual analytics tool for explorative analysis of financial activity within the Bitcoin network.  ...  We report on feedback regarding the approach and the the software tool gathered during a workshop with domain experts, and we discuss the potential of the approach based on our findings.  ...  This opens a new perspective on the data and allows a high-level analysis of activity on the Bitcoin network.  ... 
arXiv:1912.08101v2 fatcat:pgdlne2qrfhcxp3y43x32cfdny

BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network [article]

Christoph Kinkeldey, Jean-Daniel Fekete, Petra Isenberg
2017 Eurographics Conference on Visualization  
BitConduite is a system we are developing for the visual exploration of financial activity on the Bitcoin network.  ...  Yet, the open data does not lend itself easily to an analysis of how different individuals and institutions-or entities on the network-actually use Bitcoin.  ...  Thus, Bitcoin, and in particular users' transaction activities are an important data source to study, as very little is known about the actors and their activities on the Bitcoin network.  ... 
doi:10.2312/eurp.20171160 dblp:conf/vissym/KinkeldeyFI17 fatcat:tdflr6vtkbdabpfliewmkgpd7e

Visualization of Blockchain Data: A Systematic Review

Natkamon Tovanich, Nicolas Heulot, Jean-Daniel Fekete, Petra Isenberg
2019 IEEE Transactions on Visualization and Computer Graphics  
We present a systematic review of visual analytics tools used for the analysis of blockchains-related data.  ...  The blockchain concept has recently received considerable attention and spurred applications in a variety of domains.  ...  ACKNOWLEDGMENTS This research work has been carried out under the leadership of the Institute for Technological Research SystemX, and therefore granted with public funds within the scope of the French  ... 
doi:10.1109/tvcg.2019.2963018 pmid:31899429 fatcat:53tcxbz7sbdszoi4hiwhxcnike

Blockchain Analysis Tool For Monitoring Coin Flow

Aman Framewala, Sarvesh Harale, Shreya Khatal, Dhiren Patel, Yann Busnel, Muttukrishnan Rajarajan
2020 2020 Seventh International Conference on Software Defined Systems (SDS)  
In this paper, we propose an approach to parse and visualize the data of Bitcoin blockchain in a graph structure and carry out analysis that includes tracking and tracing, address clustering and entity  ...  While cryptocurrencies like Bitcoin have the potential to break traditional financial barriers, there are growing concerns about such currencies being used to fund illegal activities.  ...  In this paper, we propose a tool to parse the Bitcoin blockchain data, visualize the transactions and analyze them with ease.  ... 
doi:10.1109/sds49854.2020.9143908 dblp:conf/sds/FramewalaHKPBR20 fatcat:h2dhjjrfjrejlgfwoi4aep36hu

Analysis of Cryptocurrency Transactions from a Network Perspective: An Overview [article]

Jiajing Wu, Jieli Liu, Yijing Zhao, Zibin Zheng
2021 arXiv   pre-print
This survey aims to analyze and summarize the existing literature on analyzing and understanding cryptocurrency transactions from a network perspective.  ...  Networks are a general language for describing interacting systems in the real world, and a considerable part of existing work on cryptocurrency transactions is studied from a network perspective.  ...  The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  ... 
arXiv:2011.09318v2 fatcat:idtd636e75cotgfsgufgu6np3a

BitIodine: Extracting Intelligence from the Bitcoin Network [chapter]

Michele Spagnuolo, Federico Maggi, Stefano Zanero
2014 Lecture Notes in Computer Science  
, and finally visualizes complex information extracted from the Bitcoin network.  ...  However, the complete history of all transactions ever performed, called "blockchain", is public and replicated on each node.  ...  extracted from the Bitcoin network.  ... 
doi:10.1007/978-3-662-45472-5_29 fatcat:bc3e62ww7zgxvcdczanmdfsfbq

Analyzing the Bitcoin Network: The First Four Years

Matthias Lischke, Benjamin Fabian
2016 Future Internet  
For this, we establish and analyze a novel integrated dataset that enriches data from the Bitcoin blockchain with off-network data such as business categories and geo-locations.  ...  Our analyses reveal the major Bitcoin businesses and markets. Our results also give insights on the business distribution by countries and how businesses evolve over time.  ...  Acknowledgments: The authors would like to thank Annika Baumann for helpful discussions during early stages of this research.  ... 
doi:10.3390/fi8010007 fatcat:vx3lwpnye5dutnmd7g4ruvzwda

Analysis Techniques for Illicit Bitcoin Transactions

Adam Brian Turner, Stephen McCombie, Allon J. Uhlmann
2020 Frontiers in Computer Science  
We focus on the field of ransomware countermeasures to illustrate our points.  ...  This comprehensive overview of analysis techniques for illicit Bitcoin transactions addresses both technical, machine learning approaches as well as a non-technical, legal, and governance considerations  ...  activity on the Bitcoin network.  ... 
doi:10.3389/fcomp.2020.600596 fatcat:2vx5nxtgrzedfh2kqrj2hhqkg4

The Evolution of the Bitcoin Economy: Extracting and Analyzing the Network of Payment Relationships

Paolo Tasca, Shaowen Liu
2016 Social Science Research Network  
We are then able to extract and create a map of the network of payment relationships among them, and analyze transaction behavior found in each business category.  ...  In this paper, we gather together the minimum units of Bitcoin identity (the individual addresses), and group them into approximations of business entities, what we call "super clusters".  ...  the PUG analysis; and Section [7] describes the network of entities on the Bitcoin network as discerned from the PUG and TP analyzes and develops the progression of three regimes of the Bitcoin economy  ... 
doi:10.2139/ssrn.2808762 fatcat:uac4ktszdfbybbdy5wa7wuir3y

Analyzing hack subnetworks in the bitcoin transaction graph

Daniel Goldsmith, Kim Grauer, Yonah Shmalo
2020 Applied Network Science  
We analyze each hack according to eight network features, both static and temporal, and successfully classify each hack to its respective hacking group through our newly proposed method.  ...  We analyzed six hack subnetworks of bitcoin transactions known to belong to two prominent hacking groups.  ...  Acknowledgements We thank the Chainalysis investigators for their collaboration. Authors' contributions DG, KG, and YS designed research, performed research, and wrote the paper.  ... 
doi:10.1007/s41109-020-00261-7 fatcat:43wazty7f5hdvpu3gxcafm3wae

Analyzing Hack Subnetworks in the Bitcoin Transaction Graph [article]

Daniel Goldsmith, Kim Grauer, Yonah Shmalo
2019 arXiv   pre-print
We analyze each hack according to eight network features, both static and temporal, and successfully classify each hack to its respective hacking group through our newly proposed method.  ...  We analyzed six hack subnetworks of bitcoin transactions known to belong to two prominent hacking groups.  ...  Acknowledgements We thank the Chainalysis investigators for their collaboration. Author's contributions DG, KG, and YS designed research, performed research, and wrote the paper.  ... 
arXiv:1910.13415v1 fatcat:3pokol3ou5dizh3xueeikf27xu

Assessing Holistic Impacts of Major Events on the Bitcoin Blockchain Network [article]

Anthony Luo, Dianxiang Xu
2020 arXiv   pre-print
Subgroups of these events have strongly consistent temporal impacts on specific facets (e.g. activity or fees) of the Bitcoin ecosystem.  ...  We have applied our framework to 16 major worldwide events and the Bitcoin blockchain network (defined as Bitcoin transaction and users, blockchain data, and memory pool data) from 2016-2018.  ...  Conflict of interest The authors declare that they have no conflict of interest.  ... 
arXiv:2006.02416v1 fatcat:sqkls7gazjbz3fmqm4dtkfhmvu

Analysis of Financial News with NewsStream [article]

Petra Kralj Novak, Miha Grcar, Borut Sluban, Igor Mozetic
2015 arXiv   pre-print
of the Bitcoin digital currency, and visualizing how the world is connected through news.  ...  The NewsStream portal can be used to answer the questions when, how often, in what context, and with what sentiment was a financial entity or term mentioned in a continuous stream of news and blogs, and  ...  NewsStream is being used, adapted, and further developed in the following EUfunded projects: SIMPOL (Financial Systems Simulation and Policy Modelling,  ... 
arXiv:1508.00027v2 fatcat:zds2k2gm6rcwhgpx6ox3czrvxy

The Complex Community Structure of the Bitcoin Address Correspondence Network

Jan Alexander Fischer, Andres Palechor, Daniele Dell'Aglio, Abraham Bernstein, Claudio J. Tessone
2021 Frontiers in Physics  
In this paper, we analyze for the first time the Address Correspondence Network and show it is characterized by a complex topology, signaled by a broad, skewed degree distribution and a power-law component  ...  identify entities and gain a deeper understanding of the Bitcoin economy as a whole.  ...  [1] estimate that one-quarter of entities in the Bitcoin network are associated with illegal activity.  ... 
doi:10.3389/fphy.2021.681798 fatcat:lbs4tzq76zf4bfpidw3zvpym6m

A GRAPH-BASED INVESTIGATION OF BITCOIN TRANSACTIONS [chapter]

Chen Zhao, Yong Guan
2015 IFIP Advances in Information and Communication Technology  
This chapter describes a graph-based method for analyzing the identity clustering and currency flow properties of Bitcoin transactions.  ...  The analysis, which is performed on two years of Bitcoin transaction data, provides insights into the nature of anonymity provided by Bitcoin and how currency flows between selected users and communities  ...  If such activities are found to exist in a graph, how can evidence about Bitcoin entities engaged in the activities be collected and presented.  ... 
doi:10.1007/978-3-319-24123-4_5 fatcat:kxmgtrcz4bfd5oa7eyswd4nigm
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