Abstract
The massive spread of online social media platforms has favored the emergence of social media giants, like Facebook, Twitter, Instagram. These companies have been the center of many scandals related to privacy issues, data ownership and censorship. The issues that stem from their centralized architecture, brought the spotlight on alternative solutions based on decentralized or distributed architectures. In these alternative social media platforms, the data is not owned by a single company, the open nature makes censorship harder and users can profit from their contents. Here we focus on a specific solution - Steemit - built on top of a public blockchain, linked to the Steem cryptocurrency. In fact, in Steemit, the participation and the content quality are rewarded with a cryptocurrency through a network- and user-based voting system. This way, the network structure, the dynamics on top of it and the cryptocurrency market are strongly coupled. Such an interplay is the focus of the paper; specifically, we study the impact of the cryptocurrency Steem on the social network growth, using more than 4 years of data extracted directly from the Steem Blockchain. We find that the growth of the network is strongly tied to the fluctuations in Steem cryptocurrency price: it can be observed that rising Steem prices trigger the network growth, and similarly, when Steem value drops, so does the network’s growth. We also find evidence of a lead-follow relationship between Steem price and users’ behavior: our study suggests that the full impact of the Steem cryptocurrency price can be observed within 3–4 weeks. So essentially, the blockchain-based social network Steemit represents a valuable case study among the emerging online social media, where network dynamics and economic/financial aspects are strongly intertwined; and where the underlying blockchain is an unprecedented source of data for measuring such interplay.
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Notes
- 1.
Actually, this is an abstraction of the architecture, since modern online social networks heavily rely on large-scale data center and content delivery networks.
- 2.
Cryptocurrency price history data is recovered from an already existent web service.
- 3.
Resteemed, in the Steemit jargon.
- 4.
The actual Steem value is available at https://coinmarketcap.com/currencies/steem/, for example.
- 5.
The action timestamp is derived from its block and each block is verified every 3 s.
- 6.
References
Broadcast Ops. https://developers.steem.io/apidefinitions/broadcast-ops
Steem (STEEM) price, charts, market cap, and other metrics. https://coinmarketcap.com/currencies/steem/
Steemit Whitepaper. https://steem.com/steem-whitepaper.pdf
Chohan, U.W.: The concept and criticisms of steemit. Available at SSRN 3129410 (2018)
Freedman, D., Pisani, R., Purves, R.: Statistics (International Student Edition), 4th edn. WW Norton & Company, New York (2007). Pisani, R. Purves
Gensollen, N., Latapy, M.: Do you trade with your friends or become friends with your trading partners? A case study in the g1 cryptocurrency. Appl. Netw. Sci. 5(1), NA–NA (2020)
Guidi, B.: When blockchain meets online social networks. Perv. Mob. Comput. 62, 101131 (2020)
Hyndman, R., Athanasopoulos, G.: Forecasting: Principles and Practice. OTexts, 3rd edn. (2019). https://Otexts.com/fpp3/
Ji, Q., Bouri, E., Gupta, R., Roubaud, D.: Network causality structures among bitcoin and other financial assets: a directed acyclic graph approach. Q. Rev. Econ. Financ. 70, 203–213 (2018)
Jia, P., Yin, C.: Research on the characteristics of community network information transmission in blockchain environment. In: 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), vol. 1, pp. 2296–2300 (2019)
Kim, M.S., Chung, J.Y.: Sustainable growth and token economy design: the case of steemit. Sustainability 11(1), 167 (2019)
Larimer, D.: DPOS consensus algorithm–the missing whitepaper, steemit (2018)
Li, C., Palanisamy, B.: Incentivized blockchain-based social media platforms: a case study of steemit. In: Proceedings of the 10th ACM Conference on Web Science, pp. 145–154 (2019)
Maesa, D.D.F., Marino, A., Ricci, L.: Data-driven analysis of bitcoin properties: exploiting the users graph. Int. J. Data Sci. Anal. 6(1), 63–80 (2018)
Maesa, D.D.F., Marino, A., Ricci, L.: The bow tie structure of the bitcoin users graph. Appl. Netw. Sci. 4(1), 56 (2019)
Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system. Cryptography Mailing, March 2009. https://metzdowd.com
Scott, N.: Steemit update, November 2018. https://steemit.com/steem/@ned/2fajh9-steemit-update
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Ba, C.T., Zignani, M., Gaito, S., Rossi, G.P. (2021). The Effect of Cryptocurrency Price on a Blockchain-Based Social Network. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020 2020. Studies in Computational Intelligence, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-65347-7_48
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