liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Identifying Complex Dynamics in Social Systems: A New Methodological Approach Applied to Study School Segregation
School of Politics and International Studies, University of Leeds, Leeds, UK.
Linköping University, Department of Social and Welfare Studies, The Institute for Analytical Sociology, IAS. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0003-1102-4342
Department of Mathematics, Uppsala University, Uppsala, Sweden.
Linköping University, Department of Social and Welfare Studies, The Institute for Analytical Sociology, IAS. Linköping University, Faculty of Arts and Sciences.
Show others and affiliations
2016 (English)In: Sociological Methods & Research, ISSN 0049-1241, E-ISSN 1552-8294Article in journal (Refereed) Epub ahead of print
Abstract [en]

It is widely recognized that segregation processes are often the result of complex nonlinear dynamics. Empirical analyses of complex dynamics are however rare, because there is a lack of appropriate empirical modeling techniques that are capable of capturing complex patterns and nonlinearities. At the same time, we know that many social phenomena display nonlinearities. In this article, we introduce a new modeling tool in order to partly fill this void in the literature. Using data of all secondary schools in Stockholm county during the years 1990 to 2002, we demonstrate how the methodology can be applied to identify complex dynamic patterns like tipping points and multiple phase transitions with respect to segregation. We establish critical thresholds in schools’ ethnic compositions, in general, and in relation to various factors such as school quality and parents’ income, at which the schools are likely to tip and become increasingly segregated.

Place, publisher, year, edition, pages
Sage Publications, 2016.
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:liu:diva-128839DOI: 10.1177/0049124116626174OAI: oai:DiVA.org:liu-128839DiVA: diva2:932512
Available from: 2016-06-01 Created: 2016-06-01 Last updated: 2017-11-30

Open Access in DiVA

fulltext(643 kB)67 downloads
File information
File name FULLTEXT01.pdfFile size 643 kBChecksum SHA-512
0ebda3815f4727f12225cf79cb1797b3bc51af41899f0fa3843b0a87f90cd0a3acd06ced47db10da69a07d716c3dd1597ee77b974fcee956e7352e6dba251612
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Hedström, PeterNordvik, Monica K

Search in DiVA

By author/editor
Hedström, PeterJansson, KimNordvik, Monica K
By organisation
The Institute for Analytical Sociology, IASFaculty of Arts and Sciences
In the same journal
Sociological Methods & Research
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar
Total: 67 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 430 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf