iiinova — where your digital self keeps evolving

(This is a quite good "people you may know" implementation, once you follow several people.) Currently just using follows, but experimenting with likes now. Since it's calibrated to you, like spam isn't a problem.

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A peek into what I'm working on: a personalized, configurable trust score on Bluesky. Consider *just* people you follow and people they follow, build a PageRank trust graph. This is much smaller, and shows what accounts that your personal network trusts the most. Here's my most trusted accounts.

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I use percentiles for both followers and PageRank, because they have very different distributions. Here's a graph of the raw values. Clearly more followers → higher PageRank, but there are outliers. Most of the high followers / low page rank accounts follow spam, so have low-quality followers back

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More PageRank analysis! Considering only accounts with more than 40 followers, here is the distribution of followers vs PageRank. This gives "trust" recursively: if your followers are largely empty accounts → low score, if largely active → high score. Explanation about what this means...

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It's far more interesting if you remove the follow spammers. This is the same graph as above, but not considering the top 30 network-wide follow spammers. Way more cozy!

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Bsky network analysis Here's how many followers the entire Bluesky network has. Nearly every account gets 20-30 followers (follow spam), and then it drops off quickly. If you have 100 followers, you're in the top 93%. The top 1% has 430 followers.

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I mostly throw normal pottery (vases, planters, bowls), but also do weird sculptural pieces.

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Similar: top PageRank people, but who have less than 200 followers (as of yesterday)

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(Continuing PageRank of Bsky people, click below for context) Playing around with "who is the most underrated", I kind of like sorting by (followers rank - PageRank rank). e.g., you're the 100th most followed, and 50th highest PR. This captures how far off your follower count is from PageRank.

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Same disclaimer. Of the top 500 PageRanked accounts, these are the lowest PankRank / follower counts ("most overrated")

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Disclaimer: the distribution of PageRank is different than the distribution of followers, so this has a bias. I'll play with this more. But, the ordering here seems decently valid. From top 500 PageRanked accounts, these are the highest PankRank / follower counts ("most underrated")

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Ran PageRank on the bsky follower graph. Here are the top accounts. (My crawl is a little incomplete, but this should be directionally accurate)

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Andrew Conner @andrewconner.com · 14/04/2023

Do you ever get the sense that they use a bit too much blue?

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still you, but stellar vibes

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Andrew Conner @andrewconner.com · 14/04/2023

A clay Klein bottle, work in progress.

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Andrew Conner @andrewconner.com · 13/04/2023

Things you can just do: You can make boba tea at home. Boba is on Amazon, cooks quite easily. Delicious.

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Andrew Conner @andrewconner.com · 12/04/2023

Pretty cool that it's fairly easy to implement custom "people you may know". Mirror the follows graph to a local database, query to your hearts content. (`pifft` is "People I Follow that Follow Them")

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Weird situation. A while back I realized that egg cartons make great fire starters, so saved them. I also eat a lot of eggs. Didn't make nearly as many fires as I expected, and now it feels like I have too many cartons to dispose of them without someone thinking something weird is going on.

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"So Andrew what's on your mind?"

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Example usefulness: find people who I don't yet follow, are followed by a lot of people that I follow, who have brand new accounts, and aren't follow spamming.

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Each will have an explanation, but here's the list

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What essay should I write next?

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