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alicemazzy's profile
Alice Maz
Alice Maz
Alice Maz
@alicemazzy

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Alice Maz

@alicemazzy

true neutral

Austin, TX
alicemaz.com
Joined August 2009

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    Alice Maz‏ @alicemazzy Apr 30

    out of curiosity what would you do if you had a directed graph of all following/followed relationships on twitter

    5:48 PM - 30 Apr 2018
    • 2 Retweets
    • 40 Likes
    • rmloveland Crypto Blockchain AI it's                                  0xdeadbⓐbe💮 Octopher Huffaker nyuutsu 🎃 Vineland (#Based, #Redpilled) dana Joel Suovaniemi
    31 replies 2 retweets 40 likes
      1. New conversation
      2. alt-gr-adrian‏ @hyperfekt Apr 30
        Replying to @alicemazzy

        do some clustering and create feeds that are lenses into all the different subcommunities

        1 reply 1 retweet 22 likes
      3. Alice Maz‏ @alicemazzy Apr 30
        Replying to @hyperfekt

        this one's my fav suggestion so far

        0 replies 0 retweets 3 likes
      4. End of conversation
      1. New conversation
      2. akira‏ @0xa59a2d May 1
        Replying to @alicemazzy

        determine clout metric for each user, capture all high-clout individuals

        1 reply 1 retweet 5 likes
      3. Chris Allen ΧΡ ( 👻, SC, LP &  🏴)‏ @bitemyapp May 1
        Replying to @0xa59a2d @alicemazzy

        find out who else is dumb enough to follow akira despite the extreme oscillations between sad boi mopery and faux-Landian edgy acc-lordism and form a support group for people in a codependent relationship with bad content

        2 replies 0 retweets 1 like
      4. Depopulator: Neural Shoe Correlate  👞‏ @Depopulatus May 1
        Replying to @bitemyapp @0xa59a2d @alicemazzy

        Me, ya boy.pic.twitter.com/Azq5qYTlXw

        0 replies 0 retweets 6 likes
      5. End of conversation
      1. St. Rev  ☯️ 🏴 😻‏ @St_Rev Apr 30
        Replying to @alicemazzy

        chop wood, carry water

        0 replies 1 retweet 14 likes
        Thanks. Twitter will use this to make your timeline better. Undo
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      1. Joel Grus @ #SDSC18‏ @joelgrus Apr 30
        Replying to @alicemazzy

        Find and collect people who are secretly ingroup

        0 replies 0 retweets 18 likes
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      1.  🎃‏ @turtlekiosk Apr 30
        Replying to @alicemazzy

        bifurcate it further by attacking critical nodes

        0 replies 1 retweet 9 likes
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      1. Matt "summoning arachnogods" Olson‏ @carnivorous8008 Apr 30
        Replying to @alicemazzy

        Read a bunch of graph theory papers and never actually use it, most likely

        0 replies 0 retweets 11 likes
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      1. Content of Media‏ @ContentOfMedia May 1
        Replying to @alicemazzy

        1. Find the communities. 2. Find the trendmakers in each community. 3. Produce personally directed propaganda to change their alignments. (Roughly at random.)

        0 replies 0 retweets 6 likes
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      1. New conversation
      2. hello‏ @bobpoekert Apr 30
        Replying to @alicemazzy

        cluster analysis

        1 reply 0 retweets 1 like
      3. hello‏ @bobpoekert Apr 30
        Replying to @bobpoekert @alicemazzy

        there are fancier "community detection" algos, too, that the bioinfo people developed. nodes are members of a mixture of communities instead of just one. could also be lazy and just do lda on the adjacency matrix

        0 replies 0 retweets 4 likes
      4. End of conversation
      1. AnApeInKhakis‏ @AnApeInKhakis May 1
        Replying to @alicemazzy @chc40

        Ask people on Twitter what to do with it.

        0 replies 0 retweets 3 likes
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      1. Richard Maxwell‏ @JodiTheTigger Apr 30
        Replying to @alicemazzy

        Look for triangles.

        0 replies 0 retweets 4 likes
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      1. it's                                  0xdeadbⓐbe 💮‏ @0xdeadbabe Apr 30
        Replying to @alicemazzy

        look at some structural things

        0 replies 0 retweets 2 likes
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      1. spongeworthy‏ @spongeworthy2 Apr 30
        Replying to @alicemazzy

        Click on a cat video. Who cares?

        0 replies 0 retweets 2 likes
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      1. New conversation
      2. The Danish Schoolteacher‏ @chaqqn May 1
        Replying to @alicemazzy

        1/ Run a community-finding algorithm to determine tribes. 2/ Count the number of verified accounts in each tribe.

        1 reply 1 retweet 1 like
      3. The Danish Schoolteacher‏ @chaqqn May 1
        Replying to @chaqqn @alicemazzy

        3/ Verified accounts may tend to follow each other even if they belong to different tribes, so it would be interesting to think of a way to avoid mislabeling

        1 reply 0 retweets 0 likes
      4. The Danish Schoolteacher‏ @chaqqn May 1
        Replying to @chaqqn @alicemazzy

        4/ Train a neural net to predict tribal affiliation based on profile photo, then construct a "typical" tribal profile

        0 replies 0 retweets 0 likes
      5. End of conversation

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