Aiding the resilience of cooperation through the use of network rankings
Adam Lee Miles, Matteo Cavaliere, Guoli Yang · 2024
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Description
Adam Lee Miles, Matteo Cavaliere, and Guoli Yang model how reputation rankings can protect cooperation, in work from 2024. Cooperation pays a group but costs the giver, so cheats can exploit it. People judge partners by both private reads and public standing.
Their model lets agents weigh a partner's network rank before linking up. Some rankings, based on link counts or influence scores, lifted group prosperity sharply. Others did little, so the choice of ranking matters. Public rank data partly shield cooperators from defectors who would drain them. The work links network science to the survival of helpful norms. Results hold in the modeled settings the authors explored.
Catalog record
| CREATOR | Adam Lee Miles, Matteo Cavaliere, Guoli Yang |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 54 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |