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Simulating Society Transitions: Standstill, Collapse and Growth in an Evolving Network Model
We developed a model society composed of various occupations that interact with each other and the environment, with the capability of simulating three widely recognized societal transition patterns: standstill, collapse and growth, which are important compositions of society evolving dynamics. Each...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3783390/ https://www.ncbi.nlm.nih.gov/pubmed/24086530 http://dx.doi.org/10.1371/journal.pone.0075433 |
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author | Xu, Guanghua Yang, Junjie Li, Guoqing |
author_facet | Xu, Guanghua Yang, Junjie Li, Guoqing |
author_sort | Xu, Guanghua |
collection | PubMed |
description | We developed a model society composed of various occupations that interact with each other and the environment, with the capability of simulating three widely recognized societal transition patterns: standstill, collapse and growth, which are important compositions of society evolving dynamics. Each occupation is equipped with a number of inhabitants that may randomly flow to other occupations, during which process new occupations may be created and then interact with existing ones. Total population of society is associated with productivity, which is determined by the structure and volume of the society. We ran the model under scenarios such as parasitism, environment fluctuation and invasion, which correspond to different driving forces of societal transition, and obtained reasonable simulation results. This work adds to our understanding of societal evolving dynamics as well as provides theoretical clues to sustainable development. |
format | Online Article Text |
id | pubmed-3783390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37833902013-10-01 Simulating Society Transitions: Standstill, Collapse and Growth in an Evolving Network Model Xu, Guanghua Yang, Junjie Li, Guoqing PLoS One Research Article We developed a model society composed of various occupations that interact with each other and the environment, with the capability of simulating three widely recognized societal transition patterns: standstill, collapse and growth, which are important compositions of society evolving dynamics. Each occupation is equipped with a number of inhabitants that may randomly flow to other occupations, during which process new occupations may be created and then interact with existing ones. Total population of society is associated with productivity, which is determined by the structure and volume of the society. We ran the model under scenarios such as parasitism, environment fluctuation and invasion, which correspond to different driving forces of societal transition, and obtained reasonable simulation results. This work adds to our understanding of societal evolving dynamics as well as provides theoretical clues to sustainable development. Public Library of Science 2013-09-25 /pmc/articles/PMC3783390/ /pubmed/24086530 http://dx.doi.org/10.1371/journal.pone.0075433 Text en © 2013 Xu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Xu, Guanghua Yang, Junjie Li, Guoqing Simulating Society Transitions: Standstill, Collapse and Growth in an Evolving Network Model |
title | Simulating Society Transitions: Standstill, Collapse and Growth in an Evolving Network Model |
title_full | Simulating Society Transitions: Standstill, Collapse and Growth in an Evolving Network Model |
title_fullStr | Simulating Society Transitions: Standstill, Collapse and Growth in an Evolving Network Model |
title_full_unstemmed | Simulating Society Transitions: Standstill, Collapse and Growth in an Evolving Network Model |
title_short | Simulating Society Transitions: Standstill, Collapse and Growth in an Evolving Network Model |
title_sort | simulating society transitions: standstill, collapse and growth in an evolving network model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3783390/ https://www.ncbi.nlm.nih.gov/pubmed/24086530 http://dx.doi.org/10.1371/journal.pone.0075433 |
work_keys_str_mv | AT xuguanghua simulatingsocietytransitionsstandstillcollapseandgrowthinanevolvingnetworkmodel AT yangjunjie simulatingsocietytransitionsstandstillcollapseandgrowthinanevolvingnetworkmodel AT liguoqing simulatingsocietytransitionsstandstillcollapseandgrowthinanevolvingnetworkmodel |