A social network analysis of jobs and skills

• Main Authors: LEE, Derrick Ming Yang, ANG, Dion Wei Xuan, PUA, Grace Mei Ching, NG, Lee Ning, PURBOWO, Sharon, CHOY, Eugene Wen Jia, SHIM, Kyong Jin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: analytics; jobs; skills; career; social network analysis; Singapore; Asian Studies; Databases and Information Systems; Human Resources Management; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5648; https://ink.library.smu.edu.sg/context/sis_research/article/6651/viewcontent/IEEEBigData2020_JobNetwork_PID6706505_av.pdf
• Institution: Singapore Management University

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.