Fair Topologies: Community Structures and Network Hubs Drive Emergence of Fairness Norms.

ABSTRACT: Fairness has long been argued to govern human behavior in a wide range of social, economic, and organizational activities. The sense of fairness, although universal, varies across different societies. In this study, using a computational model, we test the hypothesis that the topology of social interaction can causally explain some of the cross-societal variations in fairness norms. We show that two network parameters, namely, community structure, as measured by the modularity index, and network hubiness, represented by the skewness of degree distribution, have the most significant impact on emergence of collective fair behavior. These two parameters can explain much of the variations in fairness norms across societies and can also be linked to hypotheses suggested by earlier empirical stu

SUBMITTER: Mosleh M 

PROVIDER: S-EPMC5457444 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature