Comparing Skill-Relatedness Networks: Structural Linkages vs. Relatedness in Labor Mobility

In this paper, we compare Skill-Relatedness Networks (SRNs) across selected countries, representing statistically significant interindustrial interactions that capture latent skill exchanges derived from observed labor flows. Using data from Argentina (ARG), Germany (DEU), and Sweden (SWE), we analy...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Semeshenko, Viktoriya, De Raco, Sergio A.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2025
Materias:
Ciencias Informáticas
administrative data
labor mobility
skill-relatedness
network comparison
network portraits
datos administrativos
Movilidad laboral
parentesco de habilidades
comparación de redes
portraits de redes
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/177970
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-177970
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
administrative data
labor mobility
skill-relatedness
network comparison
network portraits
datos administrativos
Movilidad laboral
parentesco de habilidades
comparación de redes
portraits de redes
spellingShingle Ciencias Informáticas
administrative data
labor mobility
skill-relatedness
network comparison
network portraits
datos administrativos
Movilidad laboral
parentesco de habilidades
comparación de redes
portraits de redes
Semeshenko, Viktoriya
De Raco, Sergio A.
Comparing Skill-Relatedness Networks: Structural Linkages vs. Relatedness in Labor Mobility
topic_facet Ciencias Informáticas
administrative data
labor mobility
skill-relatedness
network comparison
network portraits
datos administrativos
Movilidad laboral
parentesco de habilidades
comparación de redes
portraits de redes
description In this paper, we compare Skill-Relatedness Networks (SRNs) across selected countries, representing statistically significant interindustrial interactions that capture latent skill exchanges derived from observed labor flows. Using data from Argentina (ARG), Germany (DEU), and Sweden (SWE), we analyze their SRNs through an information-theoretic method designed to compare networks with non-aligned nodes, a crucial aspect for cross-country comparisons. By extracting network portraits—structural fingerprints based on shortest path distributions— we measure pairwise divergences to contrast differences in binary connectivity and weighted skill-relatedness across countries. Our findings reveal that ARG’s SRN structural connectivity differs significantly from those of DEU and SWE, while at the same time also contrast with each other. These findings suggest that the fundamental structure of skill-related interconnections is country specific. However, when viewed through the lens of the SR indicator, the differences between countries become less pronounced, suggesting a universal phenomenon in skill exchanges, highlighting a structured pattern of labor mobility across sectors in any national economy. These findings support the idea that historical and cultural factors shape SRNs, but structural connectivity remains country-specific. While skill intensity patterns (weighted SRNs) appear consistent across economies, the topological structure (binary SRNs) varies sharply, highlighting distinct labor market dynamics, patterns of specialization and pools of skills in each country.
format Articulo
Articulo
author Semeshenko, Viktoriya
De Raco, Sergio A.
author_facet Semeshenko, Viktoriya
De Raco, Sergio A.
author_sort Semeshenko, Viktoriya
title Comparing Skill-Relatedness Networks: Structural Linkages vs. Relatedness in Labor Mobility
title_short Comparing Skill-Relatedness Networks: Structural Linkages vs. Relatedness in Labor Mobility
title_full Comparing Skill-Relatedness Networks: Structural Linkages vs. Relatedness in Labor Mobility
title_fullStr Comparing Skill-Relatedness Networks: Structural Linkages vs. Relatedness in Labor Mobility
title_full_unstemmed Comparing Skill-Relatedness Networks: Structural Linkages vs. Relatedness in Labor Mobility
title_sort comparing skill-relatedness networks: structural linkages vs. relatedness in labor mobility
publishDate 2025
url http://sedici.unlp.edu.ar/handle/10915/177970
work_keys_str_mv AT semeshenkoviktoriya comparingskillrelatednessnetworksstructurallinkagesvsrelatednessinlabormobility
AT deracosergioa comparingskillrelatednessnetworksstructurallinkagesvsrelatednessinlabormobility
AT semeshenkoviktoriya comparacionderedesdeparentescodehabilidadesconectividadesestructuralydeparentescoenlamovilidadlaboral
AT deracosergioa comparacionderedesdeparentescodehabilidadesconectividadesestructuralydeparentescoenlamovilidadlaboral
_version_ 1852545711257681920
spelling I19-R120-10915-1779702025-05-06T17:17:49Z http://sedici.unlp.edu.ar/handle/10915/177970 Comparing Skill-Relatedness Networks: Structural Linkages vs. Relatedness in Labor Mobility Comparación de redes de parentesco de habilidades: conectividades estructural y de parentesco en la movilidad laboral Semeshenko, Viktoriya De Raco, Sergio A. 2025-04 2025-04-04T15:07:16Z en Ciencias Informáticas administrative data labor mobility skill-relatedness network comparison network portraits datos administrativos Movilidad laboral parentesco de habilidades comparación de redes portraits de redes In this paper, we compare Skill-Relatedness Networks (SRNs) across selected countries, representing statistically significant interindustrial interactions that capture latent skill exchanges derived from observed labor flows. Using data from Argentina (ARG), Germany (DEU), and Sweden (SWE), we analyze their SRNs through an information-theoretic method designed to compare networks with non-aligned nodes, a crucial aspect for cross-country comparisons. By extracting network portraits—structural fingerprints based on shortest path distributions— we measure pairwise divergences to contrast differences in binary connectivity and weighted skill-relatedness across countries. Our findings reveal that ARG’s SRN structural connectivity differs significantly from those of DEU and SWE, while at the same time also contrast with each other. These findings suggest that the fundamental structure of skill-related interconnections is country specific. However, when viewed through the lens of the SR indicator, the differences between countries become less pronounced, suggesting a universal phenomenon in skill exchanges, highlighting a structured pattern of labor mobility across sectors in any national economy. These findings support the idea that historical and cultural factors shape SRNs, but structural connectivity remains country-specific. While skill intensity patterns (weighted SRNs) appear consistent across economies, the topological structure (binary SRNs) varies sharply, highlighting distinct labor market dynamics, patterns of specialization and pools of skills in each country. En este trabajo comparamos redes de parentesco de habilidades (SRNs), que resumen interacciones interindustriales estadísticamente significativas que representan intercambios latentes de habilidades derivados de flujos laborales observados. Utilizando datos de Argentina (ARG), Alemania (DEU) y Suecia (SWE), analizamos sus SRN mediante un método basado en teoría de la información diseñado para comparar redes con nodos no alineados. Mediante la extracción de network portraits-identificadores estructurales basados en las distribuciones de caminos cortos- medimos las divergencias entre pares para contrastar las diferencias en la conectividad binaria y la relación ponderada entre parentescos de habilidades de estos países. Encontramos que la conectividad estructural de la SRN de ARG difiere significativamente de las de DEU y SWE, al mismo tiempo que las conectividades entre estos países contrastan entre sí. Ello sugiere que la existencia de especificidades en las estructuras fundamentales de interconexiones relacionadas con las habilidades en cada país. En cambio, cuando al utilizar el indicador de parentesco de habilidades, las diferencias se vuelven menos pronunciadas sugiriendo un fenómeno universal en los intercambios de habilidades, destacando un posible patrón estructurado de movilidad laboral intersectorial en cualquier economía nacional. Estos resultados apoyan la idea de que los factores históricos y culturales conforman las SRNs, pero la conectividad estructural sigue siendo específica de cada país. Mientras que los patrones de intensidad de las habilidades (ponderados) parecen coherentes en las economías analizadas, la estructura topológica (binaria) varía notablemente, poniendo de relieve las distintas dinámicas del mercado laboral, los patrones de especialización y los conjuntos de habilidades disponibles de cada país. Sociedad Argentina de Informática e Investigación Operativa Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf

Ejemplares similares