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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.

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Distribution of tested data points obtained by sampling network topologies with radius 1 and 2.The distribution of the sampled network topologies, projected onto two dimensional views of key network statistics. The left panel shows sampled network topologies projected onto the square root of interconnectedness and the average degree of the network, while the right panel describes the sample density in the average degree and the clustering coefficient space.
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pone-0020474-g005: Distribution of tested data points obtained by sampling network topologies with radius 1 and 2.The distribution of the sampled network topologies, projected onto two dimensional views of key network statistics. The left panel shows sampled network topologies projected onto the square root of interconnectedness and the average degree of the network, while the right panel describes the sample density in the average degree and the clustering coefficient space.

Mentions: We used the network generation algorithms mentioned in the previous section to create a sample of 6000 networks. The density of the sampled networks is plotted in Figure 5, projected onto the average degree against clustering coefficient of the network and the square root of the interconnectedness spaces. Note that clustering, interconnectedness and the average degree are not independent variables.


Axelrod's metanorm games on networks.

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

Distribution of tested data points obtained by sampling network topologies with radius 1 and 2.The distribution of the sampled network topologies, projected onto two dimensional views of key network statistics. The left panel shows sampled network topologies projected onto the square root of interconnectedness and the average degree of the network, while the right panel describes the sample density in the average degree and the clustering coefficient space.
© Copyright Policy
Related In: Results  -  Collection

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

pone-0020474-g005: Distribution of tested data points obtained by sampling network topologies with radius 1 and 2.The distribution of the sampled network topologies, projected onto two dimensional views of key network statistics. The left panel shows sampled network topologies projected onto the square root of interconnectedness and the average degree of the network, while the right panel describes the sample density in the average degree and the clustering coefficient space.
Mentions: We used the network generation algorithms mentioned in the previous section to create a sample of 6000 networks. The density of the sampled networks is plotted in Figure 5, projected onto the average degree against clustering coefficient of the network and the square root of the interconnectedness spaces. Note that clustering, interconnectedness and the average degree are not independent variables.

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