Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2020
Abstract
In this study, we analyzed job roles and skills across industries in Singapore. Using social network analysis, we identified job roles with similar required skills, and we also identified relationships between job skills. Our analysis visualizes such relationships in an intuitive way. Insights derived from our analyses are expected to assist job seekers, employers as well as recruitment agencies wanting to understand trending and required job roles and skills in today’s fast changing world.
Keywords
analytics, jobs, skills, career, social network analysis, Singapore
Discipline
Asian Studies | Databases and Information Systems | Human Resources Management | Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering
Publication
2020 IEEE International Conference on Big Data: Virtual conference, December 10-13: Proceedings
First Page
5747
Last Page
5749
ISBN
9781728162515
Identifier
10.1109/BigData50022.2020.9378130
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
LEE, Derrick Ming Yang; ANG, Dion Wei Xuan; PUA, Grace Mei Ching; NG, Lee Ning; PURBOWO, Sharon; CHOY, Eugene Wen Jia; and SHIM, Kyong Jin.
A social network analysis of jobs and skills. (2020). 2020 IEEE International Conference on Big Data: Virtual conference, December 10-13: Proceedings. 5747-5749.
Available at: https://ink.library.smu.edu.sg/sis_research/5648
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/BigData50022.2020.9378130
Included in
Asian Studies Commons, Databases and Information Systems Commons, Human Resources Management Commons, Numerical Analysis and Scientific Computing Commons