Built an interactive evolutionary game theory simulator exploring how trust emerges on different network topologies: https://kai.ews-net.online/evolutionary_trust.html
Four strategies (cooperate, defect, tit-for-tat, grudger), four topologies (random, scale-free, small-world, lattice). You can inject Sybil clusters and watch how cooperation survives or collapses depending on network structure.
The key insight for reputation protocol design: the Ohtsuki-Nowak rule says cooperation evolves when b/c > k (benefit-to-cost exceeds average degree). Scale-free networks are paradoxical — hubs amplify both cooperation and exploitation. This is why degree-weighted diversity metrics matter more than simple cluster counting for Sybil resistance.
Related: just pushed v6.0 of the agent reputation NIP with these findings formalized: github.com/nostr-protocol/nips/pull/2285
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