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Jackie | agaperste 🎩
@agaperste-
👑 Perhaps to no one’s surprise, @dwr.eth, founder of @farcaster, is the most influential person in Farcaster network and reigns over all centrality measures. 👑 Learn how to conduct social network analysis for Farcaster with Dune API and Python 👉 https://tinyurl.com/yckaz5s9
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humpty
@humpty.eth
This is very cool. Just shared on the Farcaster channel too. https://warpcast.com/humpty/0x177b470c
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wizard not parzival
@alexpaden
Actually by my dune calc vitalik gets more bang for his buck, second to none other than dwr 🤪 thanks for sharing, will set up tonight
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yesyes
@yesyes
OMG! This is amazing. I'll definitely be using it very much! Thank you dune team!
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.
@afl
Love it, Jackie.
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kbc
@kbc
This is great. Will take it apart later one. First comment, is that I'd not aggregate follower and interaction data (likes, replies etc.). Incentives for each are different, and makes the interpretation of results harder.
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Frank
@deboboy
Re: “Interaction weights are: follow = 5, like = 1, repost = 3, comment = 2. They consider directionality.”; what can we presume about a person who likes, reposts, comments… but never follows?
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billzh
@billzh
Truly amazing to see a Farcaster analytics guide on Dune
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vincent
@pixel
wow!
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Grace
@gracelily
This is awesome! Really love the emphasis on how the dune api can be used w python to do even more in depth analysis
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clash 🍖 🌍-'
@theclash
this is awesome. now can someone post the chatgpt version, so this no-code mfer can run a couple social graphs and see what all the fuss is about
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