During the #Eunomia meeting, I was asked, who are the most influential accounts on Mastodon? I know what Mastodon thinks about popularity contests, so don't get me wrong, I am not going to publish what I find, but I am thinking of methodologies for determining who in this network has influence.

@Gargron
classical "engagement" approach:
- boosts
- faves
- followers
- reply rate
aggregated in total, for highest-scoring toot, and also normalized to toot count, or normalized to number of followers. also,
- endorsements

downside is these measures can easily be gamed, but within a margin of error it's the most numerical you can get. works fine if you assume "influence" = "engagement". if not, you'd need to have another proxy for "influence" (which is unmeasurable directly)

@trwnh @Gargron That's the thing, right? As soon as you measure something, that's what people aim for. Whatever number you decide on as a proxy for "influence", it pretty quickly stops measuring influence.
@trwnh I don't think gaming any of the stats is a concern when talking about private, one-time research.
@Gargron perhaps not in context of the study, but it's a variable that has to be considered nonetheless. thankfully mastodon de-emphasizes engagement farming, but it's not immune. surely there exists at least one account trying to maximize its engagement (not necessarily in negative emotional contexts, as twitter is prone to).
@trwnh Yes but you don't need to think about the research itself feedback-looping into the metrics, like it would do with live leaderboards.