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Research on Decentralized Online Social Networks and the Fediverse

Copyright (C) <2025-2026> by Big Data and Networking Group, Fudan University

Background

We are interested in exploring decentralized online social networks and the fediverse, for example, Mastodon and Bluesky. We explore several aspects, including massive data collection, user behavior analytics, and outstanding account detection.

Publications

  • Min Gao, Wen Wen, Haoran Du, Qiang Duan, Yu Xiao, Yupeng Li, Xin Wang, Pan Hui and Yang Chen*. FediScan: Collaborative Social Bot Detection in the Fediverse. To appear: Proc. of the Web Conference (WWW'26), Dubai, UAE, Apr. 2026. [PDF]
  • Min Gao, Haoran Du, Wen Wen, Qiang Duan, Xin Wang* and Yang Chen*. FediData: A Comprehensive Multi-Modal Fediverse Dataset from Mastodon. Proc. of the 34th ACM International Conference on Information and Knowledge Management (CIKM’25), Resource Track, Seoul, Korea, Nov. 2025. [PDF]
  • Shaojie Min#, Shaobin Wang#, Yaxiao Luo, Min Gao, Qingyuan Gong*, Yu Xiao, Yang Chen*. FediLive: A Framework for Collecting and Preprocessing Snapshots of Decentralized Online Social Networks. Proc. of the Web Conference (WWW’25), Resource Track, Sydney, Australia, Apr.-May 2025. [PDF]

Crawler/Data

  • FediLive: A Framework for Collecting and Preprocessing Snapshots of Decentralized Online Social Networks [Project]
  • FediData: A Comprehensive Multi-Modal Fediverse Dataset form Mastodon [Data]

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Research on Decentralized Online Social Networks and the Fediverse

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