(This aren't rhetorical questions. I have my expectations but before I start interrogating data, I'd like to have other people's, too.)
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1. Mutes and blocks cut off networks pretty effectively to create dark forests or echo chambers, whatever you want to call them 2. Graphs are well connected with a low number of vertices between different clusters based on shared opinions
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Point #1 is really why I'm trying to design what I'm building to use blocks and mutes with stochastic expiration. I think the ability for networks to heal and remain dynamic is important. (I get a lot of pushback on that though)
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Question 1 is easy: very long-tailed, with spikes corresponding to specific block-lists Question 2 is hard, because I'm not 100% sure what a healthy/well-designed information environment would look like. My first guess is still long-tailed, but raw numbers shifted down.
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Yea, me either re: healthy appearance. My expectations are mostly hot-take conjectures on that, I think.
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2/3. Healthy networks provide an alternative tweet that prevents dark forests while not inflaming the reader of the tweet.
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I would expect all my meals and snacks provided if I had to work with [redacted] Twitter data.
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1. I'd expect they are distributed about like the distribution of the number of followers. Maybe blocks might correlate better to the distribution of the number followed 2. Idk, 3.hmm similar but maybe less magnitude.
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