Decentralized Networks Growth Analysis: Instance Dynamics on Mastodon

Eduard Sabo*, Mirela Riveni, Dimka Karastoyanova

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

3 Citations (Scopus)
12 Downloads (Pure)

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.
Original languageEnglish
Title of host publication International Conference on Complex Networks & Their Applications XII
Subtitle of host publicationCOMPLEX NETWORKS 2023
EditorsH Cherifi, L Rocha, C Cherifi, M. Donduran
Place of PublicationCham
PublisherSpringer
Pages366-377
Number of pages12
ISBN (Electronic)978-3-031-53503-1
ISBN (Print)978-3-031-53502-4
DOIs
Publication statusPublished - 29-Feb-2024

Publication series

NameStudies in Computational Intelligence
PublisherSpringer
Volume1144
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Keywords

  • decentralized systems
  • fediverse
  • Mastodon
  • data science
  • privacy in networks

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