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...

Full description

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)
id EDOCUR2_feaef4e97baae70fd7452aacc5897463
oai_identifier_str oai:repository.urosario.edu.co:10336/25965
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 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
dc.date.available.none.fl_str_mv 2020-08-06T16:20:20Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv 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
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Springer Nature
dc.source.spa.fl_str_mv Computational and Mathematical Organization Theory
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
bitstream.url.fl_str_mv https://repository.urosario.edu.co/bitstreams/65d85b2a-e090-413f-99fd-019a1e5d2762/download
https://repository.urosario.edu.co/bitstreams/3d839f8c-042d-40ae-98da-c4d37cf11b01/download
https://repository.urosario.edu.co/bitstreams/aca16ed6-da07-480f-8bd7-3e2477fb1b34/download
bitstream.checksum.fl_str_mv 647ac69c2156b898d61bc591b0268edf
ff4f48430144060dccbe6200530461b8
fa6d956bb370dc64637ee57829e43276
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
_version_ 1814167646451531776