marcelcosta
@marcelcosta@bcn.fedi.cat
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Fedizen de fa uns anys, m'interessen un grapat de temes: política, música, fotografia, videojocs...
La meva formació i ocupació principal és d'investigador en biomedicina. També col·laboro en alguns projectes de cultura lliure.
La meva formació i ocupació principal és d'investigador en biomedicina. També col·laboro en alguns projectes de cultura lliure.
- Comment on no title posted 1 year ago:@mathias @jupiter_rowland @jdp23 @tchambers @fediversenews No problem! Indeed, it will be interesting to see the adoption of all software across time. I have the feeling that I won't like the result, but I thought that the Fediverse was getting more centralized and I was surprised by the results... So, ho knows until we check it?
- Comment on no title posted 1 year ago:@mathias @jupiter_rowland @jdp23 @tchambers @fediversenews
I appreciate the need to make visible many software. This is part of the decentralization! I can do a second round of analysis looking at these. However, in this first part I focused in the user distribution between servers. I did a first analyisis including the software information (I have shared it, although is not in english), but will be interesting to see the dynamics, too!
I have to say that I did this analysis in my free time, so I am sure that many things can be improved! - Comment on no title posted 1 year ago:@jdp23 @jupiter_rowland @tchambers Good point. I will have to bookmark the threat to revise when I want to repeat the analysis. 😄
- Comment on no title posted 1 year ago:@jdp23 @jupiter_rowland @tchambers
>Is there actually a refusal to count those?
No, as far as I understand, if the API from the software returns users, there are counted. Akkoma is included for sure (and to note, I'm writing from a server with it :) ), not sure with calckey, but we can check it. - Comment on no title posted 1 year ago:
@tchambers @jupiter_rowland @jdp23
I’d say: it’s a start…and I could see from an analysis standpoint how the researcher started with what was doable directly via the #mastodon API. But hopefully to add others as they can.
Just a comment. @spla queried APIs from servers with many software installed, not just mastodon.
- Comment on no title posted 1 year ago:@jdp23 @jupiter_rowland @tchambers Maybe we could group all this questions in the socialhub threat (or here, if people don't have accounts there, although discourse is great to keep track of discussions).
I did a previous analysis (with serveral limitations) with March data, although it is in catalan language.
https://agora.fedi.cat/t/analisi-dels-servidors-del-fedivers/617 - Comment on no title posted 1 year ago:@tchambers @jupiter_rowland @jdp23 You're welcome! This was my intention. Me and others are really interested in measuring decentralization and network quality over quantity.
- Comment on no title posted 1 year ago:@maegul @tchambers @fediversereport @jdp23 @fediversenews @spreadmastodon
>Also, it’d be nice to know something about what comprises all the “others”, how many accounts do those instances have, how many of them are there?
Others means all the rest! Which means 21089 in May (as shown in the first table).
>Otherwise, it’ll be interesting to track this going forward because mastodon.social right now is growing faster than it did between March and 17 May … the picture could very well look different when comparing May to August.
Totally true! I would like to take monthly pictures (with the help of @spla, which is the author of the API query script). - Comment on no title posted 1 year ago:@jupiter_rowland @jdp23 @tchambers Hey! That was the point of the analysis in part, to generate debate and tools to monitor.
In theory, absolute accounts of servers include data from many softweres. It's the MAU value that only includes Mastodon servers. I think that both measures show the same trend, so.
And yes, API query must be improved. Some diaspora servers are excluded because of lag in answering. This should be addressed (although the biggest instance is alive but will close soon and doesn't accept new posts).
If there is interest on that, we can plot software distribution across servers and users.