Fairness norm through social networks: a simulation approach
Abstract Recently there has been an increased interest in adopting game-theoretic models to social norms. Most of these approaches are generally lacking a structure linking the local level of the ‘norm’ interaction to its global ‘social’ nature. Although numerous studies examined local-interaction g...
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Online Access: | https://doi.org/10.1186/s40649-021-00100-4 |
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doaj-d184f138d0f54d35bf050224fb3450a32021-10-10T11:10:09ZengSpringerOpenComputational Social Networks2197-43142021-10-018111610.1186/s40649-021-00100-4Fairness norm through social networks: a simulation approachOmar Rifki0Hirotaka Ono1Departement I4S, Centre CIS, Mines Saint-EtienneDepartment of Mathematical Informatics, Graduate School of Informatics, Nagoya UniversityAbstract Recently there has been an increased interest in adopting game-theoretic models to social norms. Most of these approaches are generally lacking a structure linking the local level of the ‘norm’ interaction to its global ‘social’ nature. Although numerous studies examined local-interaction games, where the emphasis is placed on neighborhood relations, regarding social network as a whole unique entity seems to be quite limited. In this paper, we conduct a series of simulation experiments to examine the effects that a network topology could have on the speed of emergence of the social norm. The emphasis is placed on the fairness norm in the ultimatum game context, by considering three network type models (Barabási–Albert, Watts–Strogatz and Erdős–Rényi) and several intrinsic topological properties.https://doi.org/10.1186/s40649-021-00100-4Social normUltimatum gameSocial networkSimulations |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Omar Rifki Hirotaka Ono |
spellingShingle |
Omar Rifki Hirotaka Ono Fairness norm through social networks: a simulation approach Computational Social Networks Social norm Ultimatum game Social network Simulations |
author_facet |
Omar Rifki Hirotaka Ono |
author_sort |
Omar Rifki |
title |
Fairness norm through social networks: a simulation approach |
title_short |
Fairness norm through social networks: a simulation approach |
title_full |
Fairness norm through social networks: a simulation approach |
title_fullStr |
Fairness norm through social networks: a simulation approach |
title_full_unstemmed |
Fairness norm through social networks: a simulation approach |
title_sort |
fairness norm through social networks: a simulation approach |
publisher |
SpringerOpen |
series |
Computational Social Networks |
issn |
2197-4314 |
publishDate |
2021-10-01 |
description |
Abstract Recently there has been an increased interest in adopting game-theoretic models to social norms. Most of these approaches are generally lacking a structure linking the local level of the ‘norm’ interaction to its global ‘social’ nature. Although numerous studies examined local-interaction games, where the emphasis is placed on neighborhood relations, regarding social network as a whole unique entity seems to be quite limited. In this paper, we conduct a series of simulation experiments to examine the effects that a network topology could have on the speed of emergence of the social norm. The emphasis is placed on the fairness norm in the ultimatum game context, by considering three network type models (Barabási–Albert, Watts–Strogatz and Erdős–Rényi) and several intrinsic topological properties. |
topic |
Social norm Ultimatum game Social network Simulations |
url |
https://doi.org/10.1186/s40649-021-00100-4 |
work_keys_str_mv |
AT omarrifki fairnessnormthroughsocialnetworksasimulationapproach AT hirotakaono fairnessnormthroughsocialnetworksasimulationapproach |
_version_ |
1716829939257311232 |