Self-organization and social science

David Anzola, Peter Barbrook-Johnson, Juan I. Cano

Resultado de la investigación: Contribución a RevistaArtículo

2 Citas (Scopus)

Resumen

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.
Idioma originalEnglish (US)
Páginas (desde-hasta)221-257
Número de páginas37
PublicaciónComputational and Mathematical Organization Theory
Volumen23
N.º2
DOI
EstadoPublished - jun 16 2016
Publicado de forma externa

Huella dactilar

Social sciences
Social Sciences
Self-organization
Social Dynamics
Fertilization
Fragmentation
Complexity science
Concepts

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Anzola, David ; Barbrook-Johnson, Peter ; Cano, Juan I. / Self-organization and social science. En: Computational and Mathematical Organization Theory. 2016 ; Vol. 23, N.º 2. pp. 221-257.
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Self-organization and social science. / Anzola, David; Barbrook-Johnson, Peter; Cano, Juan I.

En: Computational and Mathematical Organization Theory, Vol. 23, N.º 2, 16.06.2016, p. 221-257.

Resultado de la investigación: Contribución a RevistaArtículo

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