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Spatial evolutionary public goods game on complete graph and dense complex networks
We study the spatial evolutionary public goods game (SEPGG) with voluntary or optional participation on a complete graph (CG) and on dense networks. Based on analyses of the SEPGG rate equation on finite CG, we find that SEPGG has two stable states depending on the value of multiplication factor r,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4369736/ https://www.ncbi.nlm.nih.gov/pubmed/25796988 http://dx.doi.org/10.1038/srep09381 |
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author | Kim, Jinho Chae, Huiseung Yook, Soon-Hyung Kim, Yup |
author_facet | Kim, Jinho Chae, Huiseung Yook, Soon-Hyung Kim, Yup |
author_sort | Kim, Jinho |
collection | PubMed |
description | We study the spatial evolutionary public goods game (SEPGG) with voluntary or optional participation on a complete graph (CG) and on dense networks. Based on analyses of the SEPGG rate equation on finite CG, we find that SEPGG has two stable states depending on the value of multiplication factor r, illustrating how the “tragedy of the commons” and “an anomalous state without any active participants” occurs in real-life situations. When r is low ([Image: see text]), the state with only loners is stable, and the state with only defectors is stable when r is high ([Image: see text]). We also derive the exact scaling relation for r*. All of the results are confirmed by numerical simulation. Furthermore, we find that a cooperator-dominant state emerges when the number of participants or the mean degree, 〈k〉, decreases. We also investigate the scaling dependence of the emergence of cooperation on r and 〈k〉. These results show how “tragedy of the commons” disappears when cooperation between egoistic individuals without any additional socioeconomic punishment increases. |
format | Online Article Text |
id | pubmed-4369736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-43697362015-04-06 Spatial evolutionary public goods game on complete graph and dense complex networks Kim, Jinho Chae, Huiseung Yook, Soon-Hyung Kim, Yup Sci Rep Article We study the spatial evolutionary public goods game (SEPGG) with voluntary or optional participation on a complete graph (CG) and on dense networks. Based on analyses of the SEPGG rate equation on finite CG, we find that SEPGG has two stable states depending on the value of multiplication factor r, illustrating how the “tragedy of the commons” and “an anomalous state without any active participants” occurs in real-life situations. When r is low ([Image: see text]), the state with only loners is stable, and the state with only defectors is stable when r is high ([Image: see text]). We also derive the exact scaling relation for r*. All of the results are confirmed by numerical simulation. Furthermore, we find that a cooperator-dominant state emerges when the number of participants or the mean degree, 〈k〉, decreases. We also investigate the scaling dependence of the emergence of cooperation on r and 〈k〉. These results show how “tragedy of the commons” disappears when cooperation between egoistic individuals without any additional socioeconomic punishment increases. Nature Publishing Group 2015-03-23 /pmc/articles/PMC4369736/ /pubmed/25796988 http://dx.doi.org/10.1038/srep09381 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Kim, Jinho Chae, Huiseung Yook, Soon-Hyung Kim, Yup Spatial evolutionary public goods game on complete graph and dense complex networks |
title | Spatial evolutionary public goods game on complete graph and dense complex networks |
title_full | Spatial evolutionary public goods game on complete graph and dense complex networks |
title_fullStr | Spatial evolutionary public goods game on complete graph and dense complex networks |
title_full_unstemmed | Spatial evolutionary public goods game on complete graph and dense complex networks |
title_short | Spatial evolutionary public goods game on complete graph and dense complex networks |
title_sort | spatial evolutionary public goods game on complete graph and dense complex networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4369736/ https://www.ncbi.nlm.nih.gov/pubmed/25796988 http://dx.doi.org/10.1038/srep09381 |
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