A network analytical approach to the study of labour market mobility

Publikation: KonferencebidragPaperForskning

Standard

A network analytical approach to the study of labour market mobility. / Toubøl, Jonas; Larsen, Anton Grau; Jensen, Carsten Strøby.

2013. Paper præsenteret ved XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA), Hamborg, Tyskland.

Publikation: KonferencebidragPaperForskning

Harvard

Toubøl, J, Larsen, AG & Jensen, CS 2013, 'A network analytical approach to the study of labour market mobility', Paper fremlagt ved XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA), Hamborg, Tyskland, 21/05/2013 - 26/05/2013.

APA

Toubøl, J., Larsen, A. G., & Jensen, C. S. (2013). A network analytical approach to the study of labour market mobility. Paper præsenteret ved XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA), Hamborg, Tyskland.

Vancouver

Toubøl J, Larsen AG, Jensen CS. A network analytical approach to the study of labour market mobility. 2013. Paper præsenteret ved XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA), Hamborg, Tyskland.

Author

Toubøl, Jonas ; Larsen, Anton Grau ; Jensen, Carsten Strøby. / A network analytical approach to the study of labour market mobility. Paper præsenteret ved XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA), Hamborg, Tyskland.31 s.

Bibtex

@conference{9936f30163894d87a67ec624182ccbda,
title = "A network analytical approach to the study of labour market mobility",
abstract = "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.",
keywords = "Faculty of Social Sciences",
author = "Jonas Toub{\o}l and Larsen, {Anton Grau} and Jensen, {Carsten Str{\o}by}",
year = "2013",
language = "English",
note = "null ; Conference date: 21-05-2013 Through 26-05-2013",

}

RIS

TY - CONF

T1 - A network analytical approach to the study of labour market mobility

AU - Toubøl, Jonas

AU - Larsen, Anton Grau

AU - Jensen, Carsten Strøby

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Faculty of Social Sciences

M3 - Paper

ER -

ID: 46506732