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Bibliometrics and Network Analysis of Cryptocurrency Research

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Abstract

Cryptocurrency, as an emerging social phenomenon, has attracted great research attentions and starts to form a new research area in the past decade. A thorough review of the existing cryptocurrency literatures helps us to understand the status-quo and the promising research future of this emerging field. This paper provides a systematic review of the cryptocurrency literatures by employing bibliometrics and network analysis methods. A total of 833 publications from Web of Science Core Collection and Scopus have been collected in the time period of January 2008 to June 2018. We examine the descriptive features, countries’ contributions and collaboration networks, author collaboration networks and reference co-citation networks to identify actors with significant influence in this field. The results show that cryptocurrency research is experiencing exponential growth, but scientific collaborations between different countries and authors are still insufficient. The intellectual bases of the cryptocurrency domain rest on the early-year literatures that provide fundamental understandings for cryptocurrency, and that bridge different research fields. The analysis indicates that the current research trend focuses on cryptocurrency market analysis incorporating market behaviors and trading characteristics.

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References

  1. Chohan U W, Cryptocurrencies-A Brief Thematic Review, Social Science Research Network, 2017, https://doi.org/10.2139/ssrn.3024330.

  2. Holub M and Johnson J, Bitcoin research across disciplines, The Information Society, 2018, 34(2): 114–126.

    Article  Google Scholar 

  3. Maddox A, Singh S, Horst H, et al., An ethnography of Bitcoin: Towards a future research agenda, Australian Journal of Telecommunications and the Digital Economy, 2016, 4(1): 65–78.

    Article  Google Scholar 

  4. Miau S and Yang J M, Bibliometrics-based evaluation of the Blockchain research trend: 2008 March 2017, Technology Analysis and Strategic Management, 2018, 30(9): 1029–1045.

    Article  Google Scholar 

  5. Seebacher S and Schritz R, Blockchain technology as an enabler of service systems: A structured literature review, International Conference on Exploring Services Science, Rome, 2017.

  6. Yli-Huumo J, Ko D, Cho S, et al., Where is current research on blockchain technology? A systematic review, 2016, PLoS One, 11(10): e0163477

    Article  Google Scholar 

  7. Back A, Hashcash-a denial of service counter-measure, 2002, http://sunsite.icm.edu.pl/site/replay.old/programs/hashcash/hashcash.pdf.

  8. Haber S and Stornetta W S, Secure names for bit-strings, Proceedings of the 4th ACM Conference on Computer and Communications Security, 1997, 28–35.

  9. Lansky J, Possible state approaches to cryptocurrencies, Journal of Systems Integration, 2018, 9(1): 19–31.

    Article  MathSciNet  Google Scholar 

  10. European Banking Authority, EBA Opinion on virtual currencies, 2014, https://eba.europa.eu/documents/10180/657547/EBA-Op-2014-08+Opinion+on+Virtual+Currencies.pdf.

  11. Clegg A G, Could bitcoin be a financial solution for developing economies, University of Birmingham, 2014.

  12. Yermack D, Is Bitcoin a real currency? An economic appraisal, Handbook of Digital Currency, Academic Press, 2015, 31–43.

  13. Cheah E T and Fry J, Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin, Economic Letter, 2015, 130: 32–36.

    Article  MathSciNet  Google Scholar 

  14. Van Alstyne M, Why Bitcoin has value, Communications of the ACM, 2014, 57(5): 30–32.

    Article  Google Scholar 

  15. Nakamoto S, Bitcoin: A Peer-to-Peer Electronic Cash System, 2018, www.bitcoin.org (Last Accesse: 25th January 2019).

  16. Bjerg O, How is bitcoin money?, Theory, Culture & Society, 2016, 33(1): 53–72.

    Article  Google Scholar 

  17. Hegadekatti K, Governance and geopolitics in the age of blockchains and cryptocurrencies, Social Science Research Network, 2016, https://doi.org/10.2139/ssrn.2889314.

  18. Scott B, How can cryptocurrency and blockchain technology play a role in building social and solidarity finance?, UNRISD Working Paper, 2016.

  19. Bouri E, Molnr P, Azzi G, et al., On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?, Finance Research Letters, 2017, 20: 192–198.

    Article  Google Scholar 

  20. Dyhrberg A H, Bitcoin, gold and the dollarA GARCH volatility analysis, Finance Research Letters, 2016, 1(16): 85–92.

    Article  Google Scholar 

  21. Briere M, Oosterlinck K, and Szafarz A, Virtual currency, tangible return: portfolio diversification with bitcoin, Journal of Asset Management, 2015, 16(6): 365–373.

    Article  Google Scholar 

  22. Reyes C L, Moving beyond bitcoin to an endogenous theory of decentralized ledger technology regulation: An initial proposal, Villanova Law Review, 2016, 61: 191.

    Google Scholar 

  23. Mongeon P and Paul-Hus A, The journal coverage of Web of Science and Scopus: A comparative analysis, Scientometrics, 2016, 106(1): 213–228.

    Article  Google Scholar 

  24. Chen C, Visualizing and exploring scientific literature with Citespace: An introduction, Proceedings of the 2018 Conference on Human Information Interaction & Retrieval, ACM, 2018, 369–370.

  25. Tibly G, Pollner P, Vicsek T, et al., Extracting tag hierarchies, PloS One, 2013, 8(12): e84133.

    Article  Google Scholar 

  26. Chen C, CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature, Journal of the American Society for information Science and Technology, 2006, 57(3): 359–377.

    Article  Google Scholar 

  27. Kleinberg J, Bursty and hierarchical structure in streams, Data Mining and Knowledge Discovery, 2003, 7(4): 373–397.

    Article  MathSciNet  Google Scholar 

  28. Morris S A, Yen G, Wu Z, et al., Time line visualization of research fronts, Journal of the American Society for Information Science and Technology, 2003, 54(5): 413–422.

    Article  Google Scholar 

  29. Guan J and Ma N, China’s emerging presence in nanoscience and nanotechnology: A comparative bibliometric study of several nanoscience giants, Research Policy, 2007, 36(6): 880–886.

    Article  Google Scholar 

  30. Web of Science, Web of Science Database Help, 2019, http://images.webofknowledge.com, Last Access: 10th March 2019.

  31. Androulaki E, Karame G O, Roeschlin M, et al., Evaluating user privacy in bitcoin, International Conference on Financial Cryptography and Data Security, Berlin, Heidelberg, 2013.

  32. Eyal I and Sirer E G, Majority is not enough: Bitcoin mining is vulnerable, Communications of the ACM, 2018, 61(7): 95–102.

    Article  Google Scholar 

  33. Reid F and Harrigan M, An analysis of anonymity in the bitcoin system, 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, IEEE, 2011.

  34. Clinch M, CNBC, Bitcoin recognized by Germany as private money, CNBC, 2013, http://www.cnbc.com/id/100971898.

  35. Chen L, From fintech to finlife: The case of fintech development in China, China Economic Journal, 2016, 9(3): 225–239.

    Article  Google Scholar 

  36. Fanelli D, Do pressures to publish increase scientists’ bias? An empirical support from US States Data, PloS One, 2010, 5(4): e10271.

    Article  Google Scholar 

  37. Carpenter C R, Cone D C, and Sarli C C, Using publication metrics to highlight academic productivity and research impact, Academic Emergency Medicine, 2014, 21(10): 1160–1172.

    Article  Google Scholar 

  38. Kristoufek L, BitCoin meets Google trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era, Scientific Reports, 2013, 3: 3415.

    Article  Google Scholar 

  39. Meiklejohn S, Pomarole M, Jordan G, et al., A fistful of bitcoins: Characterizing payments among men with no names, Proceedings of the 2013 Conference on Internet Measurement Conference, ACM, 2013.

  40. Ron D and Shamir A, Quantitative analysis of the full bitcoin transaction graph, InInternational Conference on Financial Cryptography and Data Security, Berlin, Heidelberg, 2013.

  41. Chen C, Searching for intellectual turning points: Progressive knowledge domain visualization, Proceedings of the National Academy of Sciences, 2004, 101(suppl 1): 5303–5310.

    Article  Google Scholar 

  42. Ober M, Katzenbeisser S, and Hamacher K, Structure and anonymity of the bitcoin transaction graph, Future internet, 2013, 5(2): 237–250.

    Article  Google Scholar 

  43. Bohme R, Christin N, Edelman B, et al., Bitcoin: Economics, technology, and governance, Journal of Economic Perspectives, 2015, 29(2): 213–238.

    Article  Google Scholar 

  44. Kristoufek L, What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis, PloS One, 2015, 10(4): e0123923.

    Article  Google Scholar 

  45. Chaum D, Blind signatures for untraceable payments, Advances in Cryptology, Boston, MA, 1983.

  46. Wallace B, The rise and fall of Bitcoin, Wired, 2011, 19(12).

  47. Grinberg R, Bitcoin: An innovative alternative digital currency, Hastings Science & Technology Law Journal, 2011, 4: 159.

    Google Scholar 

  48. European Central Bank, Virtual Currency Scheme, 2012, https://www.ecb.europa.eu/pub/pdf/other/virtualcurrencyschemes201210en.pdf.

  49. Moore T, Christin N. Beware the middleman: Empirical analysis of Bitcoin-exchange risk. International Conference on Financial Cryptography and Data Security, Springer, Berlin, Heidelberg, 2013

    Google Scholar 

  50. Bonneau J, Miller A, Clark J, Narayanan A, Kroll JA, Felten EW. Sok: Research perspectives and challenges for bitcoin and cryptocurrencies. IEEE symposium on security and privacy, IEEE, San Jose, California, USA, 2015

    Google Scholar 

  51. Clark J, Essex A. Commitcoin: Carbon dating commitments with bitcoin. InInternational Conference on Financial Cryptography and Data Security, Springer, Berlin, Heidelberg, 2012

    Google Scholar 

  52. Babaioff M, Dobzinski S, Oren S, Zohar A. On bitcoin and red balloons. Proceedings of the 13th ACM conference on electronic commerce, ACM, Valencia, Spain, 2012

    Google Scholar 

  53. Chaum D, Zero-knowledge undeniable signatures, Workshop on the Theory and Application of Cryptographic Techniques, Berlin, Heidelberg, 1990.

  54. Ciaian P, Rajcaniova M, and Kancs D A, The economics of BitCoin price formation, Applied Economics, 2016, 48(19): 1799–1815.

    Article  Google Scholar 

  55. Sapuric S and Kokkinaki A, Bitcoin is volatile! Isnt that right? International Conference on Business Information Systems, 2014, 255–265.

  56. Bouri E, Gupta R, and Roubaud D, Herding behaviour in cryptocurrencies, Finance Research Letters, 2019, 29: 216–221.

    Article  Google Scholar 

  57. Ivanov O, Snihovyi O, and Kobets V, Cryptocurrencies prices forecasting with anaconda tool using machine learning techniques, Proceedings of the 14th International Conference on ICT in Education, Research and Industrial Applications Integration, Harmonization and Knowledge Transfer, Kyiv, Ukraine, 2018.

  58. Phillips R C and Gorse D, Predicting cryptocurrency price bubbles using social media data and epidemic modelling, IEEE Symposium Series on Computational Intelligence, IEEE, Honolulu, Hawaii, USA, 2017.

    Google Scholar 

  59. Stosic D, Ludermir T B, et al., Collective behavior of cryptocurrency price changes, Physica A: Statistical Mechanics and Its Applications, 2018, 507: 499–509.

    Article  Google Scholar 

  60. European Commision, Communication from the Commission — FinTech action plan: For a more competitive and innovative European financial sector, https://ec.europa.eu/info/sites/info/files/180308-action-plan-fintech_en.pdf.

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Authors and Affiliations

  1. Sino-Danish Center, University of Chinese Academy of Science, Beijing, China

    Xiaochun Guo & Petko Donev

  2. Department of Management, Politics and Philosophy, Copenhagen Business School, Porcelaenshaven 18B, Copenhagen, Denmark

    Xiaochun Guo

  3. Department of Economics and Management, Aalborg University, Fredrik Bajers Vej 5, Aalborg, Denmark

    Petko Donev

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  1. Xiaochun Guo
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Correspondence to Xiaochun Guo.

Additional information

This paper was recommended for publication by Editor WANG Shouyang.

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Guo, X., Donev, P. Bibliometrics and Network Analysis of Cryptocurrency Research. J Syst Sci Complex 33, 1933–1958 (2020). https://doi.org/10.1007/s11424-020-9094-z

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  • DOI: https://doi.org/10.1007/s11424-020-9094-z

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