A network analytical approach to the study of labour market mobility
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- A network analytical approach to the study of labour market mobility
Accepted author manuscript, 6.42 MB, PDF document
The aim of this paper is to present a new network analytical method for analysis of social mobility between categories like occupations or industries. The method consists of two core components; the algorithm MONECA (Mobility Network Clustering Algorithm), and the intensity measure of Relative Risk (RR), which enable us to identify clusters of inter-mobile categories. We apply the method to data of the labour market mobility in Denmark 2000-2007 and demonstrate how this new method can overcome some long standing obstacles to the advance of labour market segmentation theory: Instead of the typical theory driven definition of the labour market segments, the use of social network analysis enable a data driven definition of the segments based on the direct observation of mobility between job-positions, which reveals a number of new findings.
Translated title of the contribution | En netværkanalytisk tilgang til studiet af arbejdsmarkedssegmentering |
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Original language | English |
Publication date | 2013 |
Number of pages | 31 |
Publication status | Published - 2013 |
Event | XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA) - Universität Hamburg, Hamborg, Germany Duration: 21 May 2013 → 26 May 2013 |
Conference
Conference | XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA) |
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Location | Universität Hamburg |
Country | Germany |
City | Hamborg |
Period | 21/05/2013 → 26/05/2013 |
- Faculty of Social Sciences
Research areas
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