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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Main Authors:	Omar Rifki, Hirotaka Ono
Format:	Article
Language:	English
Published:	SpringerOpen 2021-10-01
Series:	Computational Social Networks
Subjects:	Social norm Ultimatum game Social network Simulations
Online Access:	https://doi.org/10.1186/s40649-021-00100-4

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spelling	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
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Fairness norm through social networks: a simulation approach

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