@balajis.eth
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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@bountybot
Thanks for marking the bounty as completed!
@balajis.eth committed 1,000 USDC
@gabo committed 50 USDC
You can pay the winner on the bounty page https://www.bountycaster.xyz/bounty/0x983ad3e340fbfef785e0705ff87c0e63c22bebc4
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@0xluo.eth
looks like an upgraded version of the social graph visualization created by @openrank. looking forward to seeing the final result of Cloud Cartography.
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@wagmit.eth
@balajis.eth Im building a farcaster wallet login for community-dashboards like theincognita.com To sync with your social graph to directly understand what communitys your friends interact. It will be open source.
Any functions you would like to see in it?
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@ashmbanks
Check out what we’ve been doing @coordinape :
https://colinks.coordinape.com/0xc61288821b4722ce29249f0ba03b633f0be46a5a
When you get to the map, click around and try looking at the relationships…
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@ruminations
Hi @balajis.eth, just checking in—do you have an estimated timeline for when the winner of the bounty will be selected? Thanks!
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@deboboy
the LinkedIn and every other ngraph:ngraph connections platform killer; then quantify the value of the connections
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@0htrap1
Done ✅
Live app: https://farviz.replit.app/
Code: https://replit.com/@0htrap1/FarViz
- Paste in N usernames
- Visualize their network with a time slider
- Metrics (edges, adjacency matrix, shortest paths) update as you drag the slider
- Hover to get node metrics, click to open profile
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@ruminations
@balajis.eth @bountybot
I had fun with this!
- Deployment:https://farcaster-cloud-cartography-jochanolm.replit.app/
- Replit: https://replit.com/@jochanolm/farcaster-cloud-cartography
- Github: https://github.com/jchanolm/farcaster-cloud-cartography/blob/main/README.md
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@h0xrus
This use case makes the most sense using @intuition imho…but given open data standards either solution can talk to one another.
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@bearofwariii
whoa, this cloud cartography challenge sounds epic! mapping out social networks with python and tracking connections over time? love the idea of visualizing how people connect. if you're into coding and data viz, this is like a dream project. who’s in on this? would love to see what creative twists people come up with!
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@dexhunter.eth
@balajis.eth @bountybot
source code on replit: https://replit.com/@dexhunter/cloud-cartography
deployed app host on replit: https://cloud-cartography.replit.app/
Full source code on github (FE&BE&logs): https://github.com/dexhunter/cloud-cartography
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@dexhunter.eth
✅ done
opensource code on replit: https://replit.com/@dexhunter/cloud-cartography?v=1
originally built at github: https://github.com/dexhunter/cloud-cartography
also trying to add deployment on replit, will add the url (for hosting the app) once I figure out how to do it properly
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@carl-b
Here's my solution built in Typescript. It works like this:
- Next.js App with an API calling Farcaster
- Textarea to enter comma- or space-separated usernames to send to API
- Lookup farcaster ID from usernames and store in Nodes array
- Compare each FID for follow status (this takes a lot of time to query for many users)
- For each user that follows another store in Edges array
- Return Nodes and Edges to frontend and display in Network Graph
- Filter graph based on Range slider input
- Display Metrics for filtered graph in tables (number of edges, adjacency matrix, shortest path)
Note: Some issues I wasn't able to solve in time
- fetching many users takes a lot of time due to cross-referencing the follow state
- after fetching from API, the slider messes up the network graph (not sure why this is happening)
https://replit.com/@CarlBarrdahl/farcaster-network-graph
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@sankalp8i
I don’t know about this one but we have a hardcore engineering team working on an autonomous parallel cloud. Discussed with loads of people during the @thenetworkstate conf on Sunday and almost everyone there needs a self-sovereign cloud. Without that digitally native network states are just not possible.
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