Data Analysis of Digital Currency Networks: Namecoin Case Study

Tao Hung Chang, Davor Svetinovic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

Financial transaction networks are some of the largest networks in existence. A relatively new type of financial networks is the digital (crypto) currency network, e.g., Bitcoin. Namecoin is an alternative crypto currency, based on Bitcoin, with additional features such as DNS. Namecoin network has more than 2 million nodes and almost 17 million edges. The analysis of such a crypto currency network can help us model or predict the future growth of the transaction networks. In order to analyze the transaction network graph over time, we analyzed the Namecoin blockchain data in 7 six months intervals. Our findings suggest different user behavior and developing pattern compared to Bitcoin.

Original languageBritish English
Title of host publicationProceedings - 2016 21st International Conference on Engineering of Complex Computer Systems, ICECCS 2016
EditorsHai H. Wang, Mounir Mokhtari, Mounir Mokhtari
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages122-125
Number of pages4
ISBN (Electronic)9781509055272
DOIs
StatePublished - 2 Jul 2016
Event21st International Conference on Engineering of Complex Computer Systems, ICECCS 2016 - Dubai, United Arab Emirates
Duration: 6 Nov 20168 Nov 2016

Publication series

NameProceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS
Volume0

Conference

Conference21st International Conference on Engineering of Complex Computer Systems, ICECCS 2016
Country/TerritoryUnited Arab Emirates
CityDubai
Period6/11/168/11/16

Keywords

  • Bitcoin
  • cryptocurrency
  • Data analytics

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