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bluesky_failla — Bluesky social network (2023-2024)

Description

Networks of the users of the microblogging platform Bluesky Social, from the dataset of Failla and Rossetti, who crawled the platform through its public API in early 2024, collecting the complete post history (from February 2023 to March 2024) of over 4 million users, about 81% of the accounts registered at the time, and their follow relations. The data were pseudonymized by the authors: users are identified only by integer ids (consistent across the networks), and times are coarsened to the day (to the minute for threads). The dataset contains five networks:

  • followers: the follower network, where a directed edge from user u to user v means that u follows v (4,099,699 users, 144,581,603 follow relations).
  • reposts: a directed edge from a user to the author of a post that the user reposted, for each repost (63,438,069 reposts by 1,405,567 users).
  • replies: a directed edge from a user to the author of a post that the user replied to, for each reply (87,550,414 replies by 1,518,191 users).
  • quotes: a directed edge from a user to the author of a post that the user quoted, for each quote (12,085,583 quotes by 631,347 users).
  • threads: a bipartite network of the users and the discussion threads in which they participated (19,486,141 threads with 1,507,198 users, and 59,475,386 participations).

In the interaction networks, users can interact with their own posts, which appear as self-loops, and repeated interactions between the same users appear as multiple edges. Only users with at least one edge appear in each network. Left out are the contents of the posts, the posts of 11 thematic feeds with their likes and bookmarks, and the file of interactions that combines the repost, reply and quote networks.

The networks have the following properties:

  • (Node) user_id: the pseudonymized id of the user (-1 for threads).
  • (Node) is_thread (threads): whether the node is a thread (otherwise a user).
  • (Node) thread_id (threads): the id of the thread (-1 for users).
  • (Node) time (threads): the time of the thread (Unix time, to the minute; -1 for users).
  • (Edge) time (reposts, replies and quotes): the day of the interaction (Unix time, at midnight UTC).
Tags
Social Online Communication Unweighted Multigraph Timestamps
Added
2026-10-27
Citation
Upstream URL OK
https://doi.org/10.5281/zenodo.14669616
Upstream license
Restricted access. Upstream does not permit data redistribution, hence the network files cannot be downloaded without authorization. See here how to gain access.
Networks
Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
followers 4,099,699 144,581,603 35.27 760.01 1655.65 704.55 -0.03 0.01 14 1.00 Directed Unipartite user_id 273.9 MiB 518.6 MiB 499.9 MiB 477.5 MiB
reposts 1,405,567 63,438,069 45.13 832.64 1506.67 1691.30 0.02 0.23 17 0.99 Directed Unipartite user_id time 153.0 MiB 345.4 MiB 332.7 MiB 287.3 MiB
replies 1,518,191 87,550,414 57.67 946.43 905.59 6285.70 0.17 0.34 27 0.91 Directed Unipartite user_id time 150.6 MiB 385.5 MiB 371.4 MiB 298.4 MiB
quotes 631,347 12,085,583 19.14 435.61 894.90 1454.27 0.05 0.15 20 0.90 Directed Unipartite user_id time 28.9 MiB 67.4 MiB 64.9 MiB 58.4 MiB
threads 20,993,339 59,475,386 5.67 66.38 207.43 5871.94 -0.11 0.00 41 0.98 Undirected Bipartite user_id is_thread thread_id time 188.4 MiB 379.7 MiB 363.5 MiB 398.9 MiB