Community analysis in Slovenian labour network 2010-2020

Andonovikj, Viktor (avtor), Boškoski, Pavle (avtor), Evkoski, Bojan (avtor), Redek, Tjaša (avtor), Boshkoska, Biljana Mileva (avtor)

There is little evidence on the right approach on how to delineate the sub-networks in a labour market. The subject of research in this paper is computational influence identification of the labour force transitions between different professional occupations in the Slovenian labour network from 2010 to 2020. We use community detection algorithm to identify occupation groups and apply influence analysis on the Slovenian labour network from 2010 to 2020. This directly supports the decision-makers and employment services in identifying job opportunities for job-seekers based. The main conribution is using influence analysis to detect occupations and communities that had the most significant impact on the Slovenian labour market. The research is the first work to successfully apply community and influence analysis in the Slovenian labour network to the best of our knowledge. The paper carries several important implications, primarily highlighting the usage of existing data to increase employment levels.

• Jezik: Angleški jezik
• Ključne besede: Slovenia, labour market, decision making, directed network, community detection, Ensemble Louvain
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: EF - Ekonomska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2022
• Št. strani: Str. 308–318
• Številčenje: Vol. 31, no. S1
• PID: 20.500.12556/RUL-137146
• UDK: 331.5
• ISSN pri članku: 1246-0125
• DOI: 10.1080/12460125.2022.2070944
• COBISS.SI-ID: 107861251
• Datum objave v RUL: 02.06.2022

Gradivo je del revije

• Naslov: Journal of decision systems
• Skrajšan naslov: J. decis. syst.
• Založnik: Taylor & Francis
• ISSN: 1246-0125
• COBISS.SI-ID: 515053593

Licence

• Licenca: CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
• Opis: Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: Slovenija, trg dela, odločanje