Limits...
Axelrod's metanorm games on networks.

Galán JM, Łatek MM, Rizi SM - PLoS ONE (2011)

Bottom Line: Recent experimental results show that network structures that underlie social interactions influence the emergence of norms that promote cooperation.Network topology strongly influences the effectiveness of the metanorms mechanism in establishing cooperation.In particular, we find that average degree, clustering coefficient and the average number of triplets per node play key roles in sustaining or collapsing cooperation.

View Article: PubMed Central - PubMed

Affiliation: Área de Organización de Empresas, Departamento de Ingeniería Civil, Universidad de Burgos, Burgos, Spain. jmgalan@ubu.es

ABSTRACT
Metanorms is a mechanism proposed to promote cooperation in social dilemmas. Recent experimental results show that network structures that underlie social interactions influence the emergence of norms that promote cooperation. We generalize Axelrod's analysis of metanorms dynamics to interactions unfolding on networks through simulation and mathematical modeling. Network topology strongly influences the effectiveness of the metanorms mechanism in establishing cooperation. In particular, we find that average degree, clustering coefficient and the average number of triplets per node play key roles in sustaining or collapsing cooperation.

Show MeSH

Related in: MedlinePlus

Proportion of time spent in the emergence and collapse zones.Proportion of time that the simulation spends in the norm collapse and emergence zones as a function of key network statistics using similar projections as those in Figure 5. Color codes the fraction of simulation time spent in each zone computed for each bin. Time spent outside either zone is insignificant.
© Copyright Policy
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3105066&req=5

pone-0020474-g006: Proportion of time spent in the emergence and collapse zones.Proportion of time that the simulation spends in the norm collapse and emergence zones as a function of key network statistics using similar projections as those in Figure 5. Color codes the fraction of simulation time spent in each zone computed for each bin. Time spent outside either zone is insignificant.

Mentions: We have computed the time that a single simulation is in either zone. In Figure 6 we have measured the long-run fraction of time, averaged over runs and over network topologies that the simulation is in cooperative norm emergence and collapse zones as a function of average degree and root square of interconnectedness and as function of average degree and clustering coefficient of the network. First, these results suggest that the ESS obtained analytically in the simplified model are in fact the only ESS in the system since the time that the simulation is out of these two zones is not significant.


Axelrod's metanorm games on networks.

Galán JM, Łatek MM, Rizi SM - PLoS ONE (2011)

Proportion of time spent in the emergence and collapse zones.Proportion of time that the simulation spends in the norm collapse and emergence zones as a function of key network statistics using similar projections as those in Figure 5. Color codes the fraction of simulation time spent in each zone computed for each bin. Time spent outside either zone is insignificant.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3105066&req=5

pone-0020474-g006: Proportion of time spent in the emergence and collapse zones.Proportion of time that the simulation spends in the norm collapse and emergence zones as a function of key network statistics using similar projections as those in Figure 5. Color codes the fraction of simulation time spent in each zone computed for each bin. Time spent outside either zone is insignificant.
Mentions: We have computed the time that a single simulation is in either zone. In Figure 6 we have measured the long-run fraction of time, averaged over runs and over network topologies that the simulation is in cooperative norm emergence and collapse zones as a function of average degree and root square of interconnectedness and as function of average degree and clustering coefficient of the network. First, these results suggest that the ESS obtained analytically in the simplified model are in fact the only ESS in the system since the time that the simulation is out of these two zones is not significant.

Bottom Line: Recent experimental results show that network structures that underlie social interactions influence the emergence of norms that promote cooperation.Network topology strongly influences the effectiveness of the metanorms mechanism in establishing cooperation.In particular, we find that average degree, clustering coefficient and the average number of triplets per node play key roles in sustaining or collapsing cooperation.

View Article: PubMed Central - PubMed

Affiliation: Área de Organización de Empresas, Departamento de Ingeniería Civil, Universidad de Burgos, Burgos, Spain. jmgalan@ubu.es

ABSTRACT
Metanorms is a mechanism proposed to promote cooperation in social dilemmas. Recent experimental results show that network structures that underlie social interactions influence the emergence of norms that promote cooperation. We generalize Axelrod's analysis of metanorms dynamics to interactions unfolding on networks through simulation and mathematical modeling. Network topology strongly influences the effectiveness of the metanorms mechanism in establishing cooperation. In particular, we find that average degree, clustering coefficient and the average number of triplets per node play key roles in sustaining or collapsing cooperation.

Show MeSH
Related in: MedlinePlus