@jdp23, I think you may find this interesting.
With @titi we usually discuss on developing metrics that are less simplistic on quantitative stats and that better reflect the richness of a conversation.
In that sense, I am starting to analyze conversations as networks and I think is a very interesting path!
In the figure I attach, I have represented 4 different conversations as networks and they show different patterns of centralization (being the 2 and 3 more centralized). In addition, I use two metrics of decentralization on the receptor of the message for each connection: Gini (lower being more decentralized) and Shannon (higher being more decentralized).
Conversations:
2: https://paquita.masto.host/@chinicuil/112608071118290319
3: https://cosocial.ca/@evan/112457047627977316
4: https://dair-community.social/@timnitGebru/112854573107016934Metrics taken from: https://medium.com/tap-in-with-taptools/edinburgh-decentralization-index-8e6f46c65daa
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@marcelcosta Mola molt! Aprofito per fer un ping a @teketen :) A qui li interessi el tema, tenim un fil a l’àgora de #Fedicat
https://agora.fedi.cat/t/repensant-els-criteris-dexit-duna-publicacio/818
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@titi @marcelcosta
Os puse un mensajito https://agora.fedi.cat/t/repensant-els-criteris-dexit-duna-publicacio/818/13?u=teketen
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@teketen @titi Hola! Gorka, por si no recibes notificaciones, he empezado a intentar desarrollar algunas de las cosas que me comentaste…
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@marcelcosta@bcn.fedi.cat @titi@bcn.fedi.cat thant is really interesting, thanks for sharing! Any thoughts about the underlying dynamics that lead to more or less centralization ... for example is the friend network of the original poster a factor, or how often it gets boosted, or ... ?
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@jdp23 @titi Hi!
Yes, those questions will be very important, for sure. For now, it’s only guessing, but the follower tipology will be a factor, as well as the specific content of the initial message will also be relevant. For example, is not the same abpost anouncing an event that one that asks for opinion on a topic.
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