marcelcosta

marcelcosta, 6 dni temu

@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.

marcelcosta, 6 dni temu

@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).

marcelcosta, 6 dni temu

@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.

marcelcosta, 6 dni temu

@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

marcelcosta, 6 dni temu

@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.

marcelcosta, 6 dni temu

@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.

marcelcosta, 6 dni temu

@jdp23 @jupiter_rowland @tchambers Good point. I will have to bookmark the threat to revise when I want to repeat the analysis. 😄

marcelcosta, 6 dni temu

@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!

marcelcosta, 6 dni temu

@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?

marcelcosta, 5 dni temu

@maegul @tchambers @fediversereport @jdp23 @spla @fediversenews @spreadmastodon Hey! That is interesting... I didn't thought in using fedidb (the other one I didn't know). The truth is that @spla took the data by itself and, as I had the chance to look at it, performed the analysis.

It will be interesting to do the analysis with the fedidb dataset. For what I see right now, it seems that it differs from the dataset used by me. I can see an increase in servers in Oct 22 that results in a decrease in Users by server, and then it keeps more or less stable.

I would like to apply the shannon and simpson indexes and the top10 server distribution, as they gives a broather view of diversity.

Plot showing Fedivers User per server ratio through time.

marcelcosta, 5 dni temu

@maegul @fediversenews @fediversereport @jdp23 @spla @spreadmastodon @tchambers I am playing with fedidb API and I think I could get all the data I need (first time using APIs myself!).

marcelcosta, 5 dni temu

@maegul @tchambers @fediversereport @jdp23 @spla @fediversenews @spreadmastodon When I find some time, I will try to recover this global data. I find particularly interesting the ecology measures of diversity to be applied to user distribution and software distribution.

marcelcosta, 5 dni temu

@maegul @tchambers @fediversereport @jdp23 @spla @fediversenews @spreadmastodon The same as spla did, software, user and mau data from all servers included in fedidb.

marcelcosta, 5 dni temu

@maegul @tchambers @fediversereport @jdp23 @spla @fediversenews @spreadmastodon Thanks! I'll take a look on that!

>We could pool the algorithms to get the best one and collect multiple datasets from multiple origins to maximise coverage which can then be merged.

That would be cool for sure, although I'm not sure I can add much in the technical part (I am a biologist with some data analysis skills).

marcelcosta, 5 dni temu

@maegul @tchambers @fediversereport @jdp23 @spla @fediversenews @spreadmastodon I see! neurocientist, isn't it? I am into the cancer immunology field.

Interesting, your analysis! I did something similar with the March dataset I then used in the dynamics analysis.

https://agora.fedi.cat/t/analisi-temporal-de-la-diversitat-del-fedivers/721

(It's in catalan, sorry).

marcelcosta, 5 dni temu

@spla @maegul @fediverse @tchambers @fediversereport @jdp23 @fediversenews @spreadmastodon Wow, I found a huge mistake in my analysis!

The first time point it's not from March but from September! I am a bit embarrassed, but this is what happens when you rush because of time (and also, chaos in date format).

In fact, this makes more sense and is also interesting because it seems that some months after big October wave, it seems that Fediverse is more decentralized.

marcelcosta, 5 dni temu

@maegul @tchambers @fediversereport @jdp23 @spla @fediverse @fediversenews @spreadmastodon Sure, these waves have overloaded even not-that-big instances, causing them to close registration for a time. From September, the number of servers has increased by 3.

If we had a historical from the server picture, would be really interesting to trace the movements and evolution of the Fediverse…

marcelcosta, 5 dni temu

@ada @tchambers @fediversenews @fediversereport @spreadmastodon May I ask why? I decided to analyze the MAU from Mastodon’s servers alone because I was suspicious that is not measured the same way across the softwares, so they might not be comparable.

However, the absolute account analysis (which reaches similar conclusions) include servers regardless of their software.

marcelcosta, 4 dni temu

@jdp23 @maegul @tchambers @fediversereport @spreadmastodon @fediverse @spla @fediversenews That is interesting! There are snapshots from prior to Octobers wave and also from October, November, December, etc… So we can monitor what happened with that wave, what was the dynamics of users.

marcelcosta, 4 dni temu

@maegul The API must have changed, because after 3960 servers the code breaks. I have been trying by myself with R and more or less happens the same…

marcelcosta, 3 dni temu

@mathias @jupiter_rowland @jdp23 @tchambers @fediversenews

Hi! I have expanded the analysis focusing in software usage this time. I hope you find it interesting and you may have ideas on where to look at.

https://socialhub.activitypub.rocks/t/analysis-of-fediverse-diversity-in-terms-of-decentralization/3252/7

@spla @maegul

marcelcosta, 3 dni temu

@jdp23 @maegul @mathias @jupiter_rowland @tchambers @spla @fediversenews

Yes! I will do it with the API snapshots that you shared from archive. Although it’s not possible with all the instances (API is still a bit buggy, I think), but I will be able to do it with software.