Self-organization and social science
Complexity science and its methodological applications have increased in popularity in social science during the last two decades. One key concept within complexity science is that of self-organization. Self-organization is used to refer to the emergence of stable patterns through autonomous and sel...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/25965
- Acceso en línea:
- https://doi.org/10.1007/s10588-016-9224-2
https://repository.urosario.edu.co/handle/10336/25965
- Palabra clave:
- Numerical and Computational Mathematics
Mathematical Sciences
- Rights
- License
- Abierto (Texto Completo)
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80041204600cef5ea19-d95f-429b-a47d-ca250d650b6d74a84b83-1ea9-4933-9839-3bf2184a8f572020-08-06T16:20:20Z2020-08-06T16:20:20Z2017-06Complexity science and its methodological applications have increased in popularity in social science during the last two decades. One key concept within complexity science is that of self-organization. Self-organization is used to refer to the emergence of stable patterns through autonomous and self-reinforcing dynamics at the micro-level. In spite of its potential relevance for the study of social dynamics, the articulation and use of the concept of self-organization has been kept within the boundaries of complexity science and links to and from mainstream social science are scarce. These links can be difficult to establish, even for researchers working in social complexity with a background in social science, because of the theoretical and conceptual diversity and fragmentation in traditional social science. This article is meant to serve as a first step in the process of overcoming this lack of cross-fertilization between complexity and mainstream social science. A systematic review of the concept of self-organization and a critical discussion of similar notions in mainstream social science is presented, in an effort to help practitioners within subareas of complexity science to identify literature from traditional social science that could potentially inform their research.application/pdfhttps://doi.org/10.1007/s10588-016-9224-2ISSN: 1381-298XEISSN: 1572-9346https://repository.urosario.edu.co/handle/10336/25965engSpringer Nature257No. 2221Computational and Mathematical Organization TheoryVol. 23Computational and Mathematical Organization Theory, ISSN: 1381-298X ; EISSN: 1572-9346, Vol.23, No.2 (2017-06); pp.221-257https://link.springer.com/content/pdf/10.1007%2Fs10588-016-9224-2.pdfAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Computational and Mathematical Organization Theoryinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURNumerical and Computational MathematicsMathematical SciencesSelf-organization and social scienceAutoorganización y ciencias socialesarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Anzola Pinzón, David EnriqueBarbrook-Johnson, PeterCano, Juan I.ORIGINALAnzola2017_Article_Self-organizationAndSocialScie.pdfapplication/pdf681135https://repository.urosario.edu.co/bitstreams/65d85b2a-e090-413f-99fd-019a1e5d2762/download647ac69c2156b898d61bc591b0268edfMD51TEXTAnzola2017_Article_Self-organizationAndSocialScie.pdf.txtAnzola2017_Article_Self-organizationAndSocialScie.pdf.txtExtracted texttext/plain122084https://repository.urosario.edu.co/bitstreams/3d839f8c-042d-40ae-98da-c4d37cf11b01/downloadff4f48430144060dccbe6200530461b8MD52THUMBNAILAnzola2017_Article_Self-organizationAndSocialScie.pdf.jpgAnzola2017_Article_Self-organizationAndSocialScie.pdf.jpgGenerated Thumbnailimage/jpeg3754https://repository.urosario.edu.co/bitstreams/aca16ed6-da07-480f-8bd7-3e2477fb1b34/downloadfa6d956bb370dc64637ee57829e43276MD5310336/25965oai:repository.urosario.edu.co:10336/259652021-08-17 05:58:09.754https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Self-organization and social science |
dc.title.TranslatedTitle.spa.fl_str_mv |
Autoorganización y ciencias sociales |
title |
Self-organization and social science |
spellingShingle |
Self-organization and social science Numerical and Computational Mathematics Mathematical Sciences |
title_short |
Self-organization and social science |
title_full |
Self-organization and social science |
title_fullStr |
Self-organization and social science |
title_full_unstemmed |
Self-organization and social science |
title_sort |
Self-organization and social science |
dc.subject.keyword.spa.fl_str_mv |
Numerical and Computational Mathematics Mathematical Sciences |
topic |
Numerical and Computational Mathematics Mathematical Sciences |
description |
Complexity science and its methodological applications have increased in popularity in social science during the last two decades. One key concept within complexity science is that of self-organization. Self-organization is used to refer to the emergence of stable patterns through autonomous and self-reinforcing dynamics at the micro-level. In spite of its potential relevance for the study of social dynamics, the articulation and use of the concept of self-organization has been kept within the boundaries of complexity science and links to and from mainstream social science are scarce. These links can be difficult to establish, even for researchers working in social complexity with a background in social science, because of the theoretical and conceptual diversity and fragmentation in traditional social science. This article is meant to serve as a first step in the process of overcoming this lack of cross-fertilization between complexity and mainstream social science. A systematic review of the concept of self-organization and a critical discussion of similar notions in mainstream social science is presented, in an effort to help practitioners within subareas of complexity science to identify literature from traditional social science that could potentially inform their research. |
publishDate |
2017 |
dc.date.created.spa.fl_str_mv |
2017-06 |
dc.date.accessioned.none.fl_str_mv |
2020-08-06T16:20:20Z |
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2020-08-06T16:20:20Z |
dc.type.eng.fl_str_mv |
article |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1007/s10588-016-9224-2 |
dc.identifier.issn.none.fl_str_mv |
ISSN: 1381-298X EISSN: 1572-9346 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/25965 |
url |
https://doi.org/10.1007/s10588-016-9224-2 https://repository.urosario.edu.co/handle/10336/25965 |
identifier_str_mv |
ISSN: 1381-298X EISSN: 1572-9346 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
257 |
dc.relation.citationIssue.none.fl_str_mv |
No. 2 |
dc.relation.citationStartPage.none.fl_str_mv |
221 |
dc.relation.citationTitle.none.fl_str_mv |
Computational and Mathematical Organization Theory |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 23 |
dc.relation.ispartof.spa.fl_str_mv |
Computational and Mathematical Organization Theory, ISSN: 1381-298X ; EISSN: 1572-9346, Vol.23, No.2 (2017-06); pp.221-257 |
dc.relation.uri.spa.fl_str_mv |
https://link.springer.com/content/pdf/10.1007%2Fs10588-016-9224-2.pdf |
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Abierto (Texto Completo) |
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Springer Nature |
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Computational and Mathematical Organization Theory |
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Universidad del Rosario |
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