Social diversity promotes the emergence of cooperation in public goods games
By Francisco C. Santos, Marta D. Santos, Jorge M. Pacheco. Nature, 2008
1,378 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Safety Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/050873d0385ab5a8aa36d5a791795967298f99b6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- Matjaz Perc
- James H. Fowler
- Attila Szolnoki
- Nicholas A. Christakis
- Zhen Wang
- Stefano Boccaletti
- Martin A. Nowak
- Alex Arenas
In Safety Research
- Matjaz Perc
- Attila Szolnoki
- Zhen Wang
- Nicholas A. Christakis
- James H. Fowler
- Stefano Boccaletti
- György Szabó
- Yamir Moreno
In Sociology and Political Science
- Matjaz Perc
- Attila Szolnoki
- Zhen Wang
- Stefano Boccaletti
- Jesús Gómez-Gardeñes
- György Szabó
- Martin A. Nowak
- James H. Fowler
Citations in the corpus
- Punish, but not too hard: how costly punishment spreads in the spatial public goods game (2010, positive): “Social diversity [20] and volunteering [21] may also promote cooperation in public goods games, as a random exploration of strategies does [22].”
- Evolutionary dynamics on any population structure (2016, background): “1 3 A p r i l 2 0 1 7 | V O l 5 4 4 | N A T U r E | 2 2 7 lETTEr doi:10.1038/nature21723 Evolutionary dynamics on any population structure”
- Cyclic dominance in evolutionary games: a review (2014, background): “It is worth noting that cyclic dominance could be crucial not just to understand biodiversity, but also social diversity [208–210].”
- Evolution of Cooperation in Multiplex Networks (2012, background): “[19] Santos, F.”
- Evolutionary dynamics of group interactions on structured populations: a review (2013, methodology): “[90] to construct the groups we recover a very different composition made up of six groups of sizes 6, 4 (2), 3 (2) and 2, respectively.”
- Modeling, Analysis and Control of Networked Evolutionary Games (2015, background): “M5 can be calculated easily as M5 = δ32[1, 20, 8, 24, 15, 32, 16, 32, 29, 32, 32, 32, 31, 32, 32, 32, 26, 28, 32, 32, 32, 32, 32, 32, 30, 32, 32, 32, 32, 32, 32, 32].”
- Games on graphs (2014, background): “For PC updating, degree heterogeneity was found to have a positive effect on cooperation in public goods games [85]; however, as in other cases, this effect is likely dependent on the update rule.”