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...

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Autores principales:	Guanghua Xu, Junjie Yang, Guoqing Li
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e9b0206f11f74d578f8640c0fd30e619
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spelling	oai:doaj.org-article:e9b0206f11f74d578f8640c0fd30e6192021-11-18T08:53:48ZSimulating society transitions: standstill, collapse and growth in an evolving network model.1932-620310.1371/journal.pone.0075433https://doaj.org/article/e9b0206f11f74d578f8640c0fd30e6192013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24086530/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203We 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.Guanghua XuJunjie YangGuoqing LiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 9, p e75433 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Guanghua Xu Junjie Yang Guoqing Li Simulating society transitions: standstill, collapse and growth in an evolving network model.
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	article
author	Guanghua Xu Junjie Yang Guoqing Li
author_facet	Guanghua Xu Junjie Yang Guoqing Li
author_sort	Guanghua Xu
title	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_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_sort	simulating society transitions: standstill, collapse and growth in an evolving network model.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/e9b0206f11f74d578f8640c0fd30e619
work_keys_str_mv	AT guanghuaxu simulatingsocietytransitionsstandstillcollapseandgrowthinanevolvingnetworkmodel AT junjieyang simulatingsocietytransitionsstandstillcollapseandgrowthinanevolvingnetworkmodel AT guoqingli simulatingsocietytransitionsstandstillcollapseandgrowthinanevolvingnetworkmodel
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Simulating society transitions: standstill, collapse and growth in an evolving network model.

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