Abstract：
:Network structure has often proven to be important in understanding the decision behavior of individuals or agents in different interdependent situations. Computational studies predict that network structure has a crucial influence on behavior in iterated 2 by 2 asymmetric 'battle of the sexes' games. We test such behavioral predictions in an experiment with 240 human subjects. We found that as expected the less 'random' the network structure, the better the experimental results are predictable by the computational models. In particular, there is an effect of network clustering on the heterogeneity of convergence behavior in the network. We also found that degree centrality and having an even degree are important predictors of the decision behavior of the subjects in the experiment. We thus find empirical validation of predictions made by computational models in a computerized experiment with human subjects.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Broere J,Buskens V,Stoof H,Sánchez Adoi
10.1038/s41598-019-43260-0subject
Has Abstractpub_date
2019-05-02 00:00:00pages
6842issue
1issn
2045-2322pii
10.1038/s41598-019-43260-0journal_volume
9pub_type
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