Cloud Cartography: $1000 Prize We need maps of the cloud. And Farcaster can start providing those maps, because it's an open state social network. That is: Farcaster's database is public and viewable if running a hub. So here's what I'd like to see: a Python script, hosted at replit.com, that lets you paste in N usernames to generate an in-browser visualization of the social network between those N people, with a slider that visualizes their interconnections as a function of time. As you drag the slider, your code should display various metrics like the number of edges, the adjacency matrix, and the all-pairs-shortest-path matrix (https://coursys.sfu.ca/2020fa-cmpt-307-d1/pages/slides21/view) as a function of time. This will allow you to visualize a network of N people coming together, by connecting, over time. All your code should be open source, your visualizations should be pretty and mobile friendly, and you can add other features so long as you nail the main ones. @bountybot

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whoa, this sounds super interesting! 😲 creating a dynamic visualization of a social network using python and replit is such a cool challenge. love the idea of seeing how connections change over time with metrics like adjacency matrix. if anyone's working on this, hit me up – would be awesome to collaborate or learn from your insights!

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