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http://dx.doi.org/10.7465/jkdi.2012.23.4.693

Inflow and outflow analysis of double majors using social network analysis  

Cho, Jang-Sik (Department of Informational Statistics, Kyungsung University)
Publication Information
Journal of the Korean Data and Information Science Society / v.23, no.4, 2012 , pp. 693-701 More about this Journal
Abstract
Recently, the number of students who get double majors has tended to increase in many universities. As results, many problems occur because immoderate inflow of double-major students is concentrated in a specific popular department. In this paper, we study the characteristic of inflow and outflow of double majors using social network analysis and decision tree analysis. According to the results, SAT score affected the inflow of double majors the most. Additionally, department category, course evaluation score, employment rate also affected the inflow of double majors in the order named. On the other hand, department category affected the outflow of double majors the most. Additionally, SAT score, employment rate, course evaluation score also affected the outflow of double majors in the order named.
Keywords
Centrality; data mining; decision tree analysis; degree; double majors; interaction effect; social network analysis;
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Times Cited By KSCI : 4  (Citation Analysis)
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