Hi, for my free time, I prefer to use DOAJ and Dimensions with OA filter. But for example, this query on Google Scholar:
intitle:"mastodon" "social network"
retrieves 14 results (some one repeated).
The keyword Mastodon makes some noise and the query could be improved searching not only on titles and with different complement (not only social network). I'll try with proximity operators and/in some others databases
@ashwinvis @plr @jorge @jaranta @robertwgehl thanks ;)
To be fair, it's not really an in-depth work on Fedi, rather an example to explore new (better?) ways of defining clustering for social networks.
I got rather surprising results on the network of instances but unfortunately did not have time to explore how they might have arisen, so if anyone wants to have a look at it...
@jaranta @robertwgehl Oh Great! I have to check and read the references in the paper. I've found some others that I have on queue. In this one (https://doi.org/10.1007/s41109-021-00392-5) there are some paragraphs with "related work". I guess they are mostly proceedings papers and preprints, but sound also interesting. I'll open a folder in my Zotero for Mastodon, Fediverse and Decentralized Online Social Networks papers 👍 😄
Scholar Social is a microblogging platform for researchers, grad students, librarians, archivists, undergrads, academically inclined high schoolers, educators of all levels, journal editors, research assistants, professors, administrators—anyone involved in academia who is willing to engage with others respectfully.