Portrait comparison of binary and weighted Skill Relatedness Networks

In this paper we compare Skill-Relatedness Networks (SRNs) for selected countries, that is to say statistically significant inter-industrial interactions representing latent skills exchanges derived from observed labor flows, a kind of industry spaces. Using data from Argentina (ARG), Germany (DEU)...

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Autores principales: De Raco, Sergio Andrés, Semeshenko, Viktorya
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2024
Materias:
Ciencias Informáticas
Administrative Data
Skill-Relatedness
Network comparison
Inter-Industry Flows
Network Portraits
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/177177
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-177177
record_format dspace
spelling I19-R120-10915-1771772025-03-07T20:07:00Z http://sedici.unlp.edu.ar/handle/10915/177177 Portrait comparison of binary and weighted Skill Relatedness Networks De Raco, Sergio Andrés Semeshenko, Viktorya 2024-08 2024 2025-03-07T16:40:39Z en Ciencias Informáticas Administrative Data Skill-Relatedness Network comparison Inter-Industry Flows Network Portraits In this paper we compare Skill-Relatedness Networks (SRNs) for selected countries, that is to say statistically significant inter-industrial interactions representing latent skills exchanges derived from observed labor flows, a kind of industry spaces. Using data from Argentina (ARG), Germany (DEU) and Sweden (SWE), we compare their SRNs utilizing an information-theoretic method that permits to compare networks of "non-aligned" nodes, which is the case of interest. For each SRN we extract its portrait, a fingerprint of structural measures of the distributions of their shortest paths, and calculate their pairwise divergences. This allows us also to contrast differences in structural (binary) connectivity with differences in the information provided by the (weighted) skill relatedness indicator (SR). We find that, in the case of ARG, structural connectivity is very different from their counterpart in DEU and SWE, but through the glass of SR the distances analyzed are all substantially smaller and more alike. These results qualify the role of the SR indicator as revealing some hidden dimension different from connectivity alone, providing empirical support to the suggestion that industry spaces may differ across countries. Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Objeto de conferencia 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 88-101
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Administrative Data
Skill-Relatedness
Network comparison
Inter-Industry Flows
Network Portraits
spellingShingle Ciencias Informáticas
Administrative Data
Skill-Relatedness
Network comparison
Inter-Industry Flows
Network Portraits
De Raco, Sergio Andrés
Semeshenko, Viktorya
Portrait comparison of binary and weighted Skill Relatedness Networks
topic_facet Ciencias Informáticas
Administrative Data
Skill-Relatedness
Network comparison
Inter-Industry Flows
Network Portraits
description In this paper we compare Skill-Relatedness Networks (SRNs) for selected countries, that is to say statistically significant inter-industrial interactions representing latent skills exchanges derived from observed labor flows, a kind of industry spaces. Using data from Argentina (ARG), Germany (DEU) and Sweden (SWE), we compare their SRNs utilizing an information-theoretic method that permits to compare networks of "non-aligned" nodes, which is the case of interest. For each SRN we extract its portrait, a fingerprint of structural measures of the distributions of their shortest paths, and calculate their pairwise divergences. This allows us also to contrast differences in structural (binary) connectivity with differences in the information provided by the (weighted) skill relatedness indicator (SR). We find that, in the case of ARG, structural connectivity is very different from their counterpart in DEU and SWE, but through the glass of SR the distances analyzed are all substantially smaller and more alike. These results qualify the role of the SR indicator as revealing some hidden dimension different from connectivity alone, providing empirical support to the suggestion that industry spaces may differ across countries.
format Objeto de conferencia
Objeto de conferencia
author De Raco, Sergio Andrés
Semeshenko, Viktorya
author_facet De Raco, Sergio Andrés
Semeshenko, Viktorya
author_sort De Raco, Sergio Andrés
title Portrait comparison of binary and weighted Skill Relatedness Networks
title_short Portrait comparison of binary and weighted Skill Relatedness Networks
title_full Portrait comparison of binary and weighted Skill Relatedness Networks
title_fullStr Portrait comparison of binary and weighted Skill Relatedness Networks
title_full_unstemmed Portrait comparison of binary and weighted Skill Relatedness Networks
title_sort portrait comparison of binary and weighted skill relatedness networks
publishDate 2024
url http://sedici.unlp.edu.ar/handle/10915/177177
work_keys_str_mv AT deracosergioandres portraitcomparisonofbinaryandweightedskillrelatednessnetworks
AT semeshenkoviktorya portraitcomparisonofbinaryandweightedskillrelatednessnetworks
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