Abstract
This study investigates the popularity, global and local presence of the top cryptocurrency websites in terms of market capitalization, and geographic distribution of cryptocurrency information on the web by mapping the information network of cryptocurrency sites. The study also explores whether web traffic and social network metrics serve as valuable indicator of financial performance of cryptocurrencies. Both citation and social network analyses were employed. The results suggest that bitcoin.org, bitcoin.com and steemit.com are the most popular sites based on the number of hit counts. Information production and consumption about coins are concentrated in European and Asia–Pacific regions. Germany and technology startup companies are the most central sources for cryptocurrency-related information in the network. This study also found positive cross correlation outcomes between web traffic, social network attributes, and cryptocurrency performance indicators. The finding demonstrates that the number of TLDs and multiple social network centrality measures are useful indicators of cryptocurrency market capitalization, trading volume, and price.
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Bollen, J., Mao, H., Zeng, X.: Twitter mood predicts the stock market. J. Comput. Sci. 2(1), 1–8 (2011)
Bonacich, P.: Some unique properties of eigenvector centrality. Soc. Netw. 29(4), 555–564 (2007)
Brito, J., Shadab, H., Castillo, A.: Bitcoin financial regulation: securities, derivatives, prediction markets, and gambling. Columbia Sci. Technol. Law Rev. 16, 144–221 (2014)
Danowski, J.A., Park, H.W.: Arab spring effects on meanings for Islamist web terms and on web hyperlink networks among Muslim-majority nations: a naturalistic field experiment. J. Contemp. East. Asia 13(2), 15–39 (2014)
Freeman, L.C.: Centrality in networks: I. Conceptual clarification. Soc. Netw. 1, 215–239 (1979)
Friedlmaier, M., Tumasjan, A., Welpe, I.M.: Disrupting industries with blockchain: the industry, venture capital funding, and regional distribution of blockchain ventures. In: Proceedings of the 51st Hawaii International Conference on System Sciences (2017)
Garcia, D., Tessone, C.J., Mavrodiev, P., Perony, N.: The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy. J. R. Soc. Interface 11(99), 1–8 (2014)
Glaser, F., Zimmermann, K., Haferkorn, M., Weber, M., Siering, M.: Bitcoin-asset or currency? Revealing users’ hidden intentions. In: 22nd European Conference on Information Systems, pp. 1–14 (2014)
Henry, C.S., Huynh, K.P., Nicholls, G.: Bitcoin Awareness and Usage in Canada. Bank of Canada, Ottawa (2017)
Hileman, G., Rauchs, M.: Global cryptocurrency benchmarking study. Camb. Centre Altern. Finance 33, 1–114 (2017)
Hyvärinen, H., Risius, M., Friis, G.: A blockchain-based approach towards overcoming financial fraud in public sector services. Bus. Inf. Syst. Eng. 59, 441 (2017). https://doi.org/10.1007/s12599-017-0502-4
Kleinberg, J.M.: Hubs, authorities, and communities. CSUR 31(4), 1–3 (1999)
Kristoufek, L.: BitCoin meets google trends and wikipedia: quantifying the relationship between phenomena of the internet era. Sci. Rep. 3(3415), 1–7 (2013)
Lee, H.J.: Comparative review on the regulatory treatment of virtual currencies: focusing on bitcoin. Hannam J. Law Technol. 21(3), 303–338 (2015). (in Korean)
Lu, H.K., Yang, L.W., Lin, P.C., Yang, T.-H., Chen, A.N.: A study on adoption of bitcoin in Taiwan using big data analysis of social media. In: Proceedings of the 3rd International Conference on Communication and Information Processing, pp. 32–38 (2017). https://dl.acm.org/citation.cfm?id=3163046. Accessed 2 Dec 2018
Luo, X., Zhang, J., Duan, W.: Social media and firm equity value. Inf. Syst. Res. 24(1), 146–163 (2013)
Mai, F., Bai, Q., Shan, J., Wang, X.S., Chiang, R.H.: The impacts of social media on Bitcoin performance. ICIS2015 Proceedings, pp. 1–46 (2015)
Marsal-Llacuna, M.L.: Future living framework: is blockchain the next enabling network? Technol. Forecast. Soc. Change 128, 226–234 (2018)
Matta, M., Lunesu, I., Marchesi, M.: Bitcoin spread prediction using social and web search media. In: UMAP Workshops (2015)
Meier, H.: Global civil society from hyperlink perspective: exploring the website networks of international NGOs. J. Contemp. East. Asia 15(1), 64–77 (2016)
Meiklejohn, S., Pomarole, M., Jordan, G., Levchenko, K., McCoy, D., Voelker, G.M., Savage, S.: A fistful of bitcoins: characterizing payments among men with no names. In: Proceedings of the 2013 Conference on Internet Measurement Conference, pp. 127–140 (2013)
Mestyán, M., Yasseri, T., Kertész, J.: Early prediction of movie box office success based on Wikipedia activity big data. PLoS ONE 8(8), 1–11 (2013)
Park, H.W., Park, S.J.: Big data analysis of cryptocurrencies: evidence from top cryptocurrency websites. J. Korean Data Anal. Soc. 20(2), 923–936 (2018). (in Korean)
Park, J., Seok, S., Park, H.W.: Web feature and co-mention analysis of open data 500 on education companies. J. Korean Data Anal. Soc. 18(4), 2067–2078 (2016). (in Korean)
Park, S.J., Park, H.W.: Webometrics analysis of local media in Daegu and Gyeongbuk area. J. Korean Data Anal. Soc. 13(3B), 1379–1391 (2011). (in Korean)
Robinson, E., Leising, M.: Blythe Masters tells banks the blockchain changes everything. Bloomberg. (2015). https://www.bloomberg.com/news/features/2015-09-01/blythe-masters-tells-banks-the-blockchain-changes-everything. Accessed 1 Dec 2018
Seitz, J., Wickramasinghe, N.: Blockchain technology in e-health: the case of electronic prescriptions in Germany. In: XVII International Scientific Conference on Industrial Systems (2017)
Shapiro, M.A., Brunner, E., Li, H.: Strength in numbers and voice: an assessment of the networking capacity of Chinese ENGOs. J. Contemp. East. Asia 17(2), 147–175 (2018)
Tasatanattakool, P., Techapanupreeda, C.: Blockchain: challenges and applications. In: Information Networking (ICOIN), 2018 International Conference on IEEE, pp. 473–475 (2018)
Thelwall, M.: Can social news websites pay for content and curation? The SteemIt cryptocurrency model. J. Inf. Sci. 44(6), 736–751 (2018)
Wörner, D., Von Bomhard, T., Schreier, Y.P., Bilgeri, D.: The Bitcoin ecosystem: disruption beyond financial services? In: Proceddings of the 24th European Conference on Information Systems (ECIS), Istanbul, Turkey (2016)
Yli-Huumo, J., Ko, D., Choi, S., Park, S., Smolander, K.: Where is current research on blockchain technology?: A systematic review. PLoS ONE 11(10), 1–27 (2016). https://doi.org/10.1371/journal.pone.0163477
Zhou, H., Kalev, P.S.: Algorithmic and high frequency trading in Asia-Pacific, now and the future. Pac. Basin Finance J. 53, 186–207 (2018)
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The authors thank Bon-Woo Koo for his help in geo-visualizing data.
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Park, S., Park, H.W. Diffusion of cryptocurrencies: web traffic and social network attributes as indicators of cryptocurrency performance. Qual Quant 54, 297–314 (2020). https://doi.org/10.1007/s11135-019-00840-6
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DOI: https://doi.org/10.1007/s11135-019-00840-6