Abstract
Federated social networks have become an appealing choice as alternatives to mainstream centralized platforms. In the current global context, where the user’s activity on various social networks is monitored, influenced and manipulated, alternative platforms that offer the possibility of owning and controlling one’s own data are of great importance. Mastodon stands out among decentralized alternatives in the fediverse.
In this study, we conduct a time-based dynamics analysis of Mastodon instances within a specific period. Our results show a growth pattern of instances in terms of accounts in certain periods of time, and due to social events, reinforcing our assumption of it being already trusted as a decentralized platform. Our work holds significance in the wider context of studying and understanding the adoption and evolution of decentralized platforms as ethical alternatives to Big Tech platforms.
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References
Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. 2008(10), P10008 (2008)
Center for Information Technology, University of Groningen: Habrok high-performance computing cluster. Technical report, University of Groningen (2023). https://wiki.hpc.rug.nl/habrok/start. Accessed multiple times during June and July 2023
Coeckelbergh, M.: The Political Philosophy of AI: An Introduction. Wiley, New York (2022)
Hagberg, A.A., Schult, D.A., Swart, P.J.: Exploring network structure, dynamics, and function using NetworkX. In: Proceedings of the 7th Python in Science Conference (SciPy2008), pp. 11–15. Pasadena, CA USA, August 2008
Hunter, J.D.: Matplotlib: a 2D graphics environment. Comput. Sci. Eng. 9(3), 90–95 (2007)
Ilik, V., Koster, L.: Information-sharing pipeline. Serials Librarian 76(1–4), 55–65 (2019)
La Cava, L., Aiello, L.M., Tagarelli, A.: Get Out of the Nest! Drivers of social influence in the #Twitter migration to Mastodon (2023)
La Cava, L., Greco, S., Tagarelli, A.: Understanding the growth of the Fediverse through the lens of Mastodon. Appl. Netw. Sci. 6(1), 64 (2021)
La Cava, L., Greco, S., Tagarelli, A.: Information consumption and boundary spanning in decentralized online social networks: the case of mastodon users. Online Soc. Netw. Media 30, 100220 (2022)
Lacasa, G.G.: Mastonet (2017). https://github.com/glacasa/Mastonet. Accessed 20 Apr–7 June 2023
Lee, K., Wang, M.: Uses and gratifications of alternative social media: why do people use mastodon? (2023)
Lemmer-Webber, C., Tallon, J., Shepherd, E., Guy, A., Prodromou, E.: ActivityPub. W3C Recommendation 20180123, World Wide Web Consortium, January 2018. https://www.w3.org/TR/activitypub/
Mastodon: Mastodon API documentation. https://docs.joinmastodon.org/methods/. Accessed 20 Apr–7 June 2022
McKinney, W.: Data structures for statistical computing in Python. In: van der Walt, S., Millman, J. (eds.) Proceedings of the 9th Python in Science Conference, pp. 56–61 (2010)
Netblock.org: Twitter, Facebook and Instagram restricted in Venezuela on day of planned protests, November 2019. https://www.netblock.org/. Accessed 15 July 2023
Netblock.org: Twitter restricted in turkey in aftermath of earthquake, February 2023. https://netblocks.org/reports/twitter-restricted-in-turkey-in-aftermath-of-earthquake-oy9LJ9B3. Accessed 28 Aug 2023
Newman, M.: Measures and metrics. In: Networks. Oxford University Press, July 2018
Riveni, M.: Mathematics of networks - centrality. Lecture notes. Social Network Analysis, University of Groningen (2022)
SocialHome: The Federation (2023). https://the-federation.info/. Accessed 30 Mar 2023
Staudt, C., Sazonovs, A., Meyerhenke, H.: NetworKit: an interactive tool suite for high-performance network analysis. CoRR abs/1403.3005 (2014). https://arxiv.org/abs/1403.3005
Stokel-Walker, C.: Twitter may have lost more than a million users since Elon musk took over. MIT Technol. Rev. 1 (2022)
Zia, H.B., He, J., Raman, A., Castro, I., Sastry, N., Tyson, G.: Flocking to mastodon: tracking the great Twitter migration (2023)
Zignani, M., Gaito, S., Rossi, G.P.: Follow the “Mastodon”: structure and evolution of a decentralized online social network, pp. 541–550 (2018)
Zulli, D., Liu, M., Gehl, R.: Rethinking the “social” in “social media”: insights into topology, abstraction, and scale on the mastodon social network. New Media Soc. 22(7, SI), 1188–1205 (2020)
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Sabo, E., Riveni, M., Karastoyanova, D. (2024). Decentralized Networks Growth Analysis: Instance Dynamics on Mastodon. In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M. (eds) Complex Networks & Their Applications XII. COMPLEX NETWORKS 2023. Studies in Computational Intelligence, vol 1144. Springer, Cham. https://doi.org/10.1007/978-3-031-53503-1_30
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DOI: https://doi.org/10.1007/978-3-031-53503-1_30
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