Case Study: OP Citizens House Research

Case Study: OP Citizens House Research

Descriptor

3 key insights

Shots from actual graph

Research Questions

  • What is the probability that any given user who wants to be a citizen is a sybil? we'd have their farcaster account and associated ethereum address(es)
  • Can we identify clusters of voters who belong to the same social graph and vote in a similar way? -- this is likely something that the governance system should track as an ongoing metric in the background to understand the concentration of power
  • Can we identify specific governance participants who have a very strong social graph and therefore a lot of soft power / influence beyond their votes? -- the number of such 'high influence' participants is also something the governance system would likely want to track in the background as it can affect the concentration of power in the collective

OP Reputation Architecture

image
  • Needs – generic and specific to regen
  • Users
  • UI Layer
  • Identity https://catts.run/
  • Data interpretation
  • Data

Clustering

The Core

Only 19 people (~10%) out of connected network

Most connected people:

  • lindaxie.eth
  • w.jess.xyz
  • ccarela.eth
  • 0x91
  • vitalik.eth
  • wilson.cusack.eth
  • purple.philm.eth

Farcaster Friends

  • Biggest connection point (number of links?)
  • (Engagement campaign results)

Regen Party

49 people (~25%)

  • Regen POAPs
  • TEC
  • Trusted Seed
  • and their connections (referral, transaction etc)

Conclusions

  • What is the probability that any given user who wants to be a citizen is a sybil? we'd have their farcaster account and associated ethereum address(es)
  • Can we identify clusters of voters who belong to the same social graph and vote in a similar way? -- this is likely something that the governance system should track as an ongoing metric in the background to understand the concentration of power
  • Can we identify specific governance participants who have a very strong social graph and therefore a lot of soft power / influence beyond their votes? -- the number of such 'high influence' participants is also something the governance system would likely want to track in the background as it can affect the concentration of power in the collective