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Job-Matching Function Analysis Using Social Network Analysis
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 Title & Authors
Job-Matching Function Analysis Using Social Network Analysis
Cho, Jang-Sik; Park, Sung-Ik;
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 Abstract
This paper proposes a job matching function that calculates the job matching probability of a job-seeker to an employer taking the working conditions of a job-seeker and an employer into account. In addition, this study analysis the degree of centrality that means interactions of a job-seeker and an employer utilizing social network analysis. The results are follows. First, a degree of centrality is found to be severely concentrated in certain job-seekers or certain employers; in addition, there are many job-seekers and employers who have no matching results. Second, according to decision tree analysis, characteristics of a job-seeker that influences the degree of centrality are gender, age and degree of education in order of importance. The characteristics of a employer that influences the degree of centrality are proposed salary, industry classification and firm size in order of importance.
 Keywords
Centrality;degree;decision tree analysis;job-matching function;social network analysis;
 Language
Korean
 Cited by
 References
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