İktisat bölümü öğrencilerinin tercih ağına dayalı olarak üniversitelerin konumlanması

Araştırma, hizmet alan paydaşların algılarına dayalı olarak üniversitelerin, üniversite öğrencilerinin tercihlerine göre konumlandırılmasını belirlemeyi amaçlamaktadır. Çalışmada 2019 yılında Türkiye'deki üniversitelerde İktisat Bölümü'ne yerleştirilen tüm öğrencilerin YKS tercih listelerinde yer alan her üniversite için tercih sayıları tamsayım yöntemi kullanılarak değerlendirilmiştir. Veriler, "Yüksek Öğretim Program Atlası" aracılığıyla her üniversitenin tercih sayfalarından ayrı olarak toplanmıştır. Çalışmada Gephi programı ile “Modülerite Tabanlı Topluluk Analizi” uygulanmıştır. Araştırmada İktisat bölümü açısından en önemli konumda bulunan üniversiteler belirlenmiştir. Tercih ağında kümelerin genel olarak İstanbul çevresi, İzmir çevresi ile Doğu ve Güneydoğu Anadolu Bölgesi'nde fiziksel yakınlık temel alınarak oluştuğu saptanmıştır. Çalışma ayrıca öğrenci tercihlerinde üniversitelerin konumlanmasında, coğrafi nedenler dışında üniversitelerin araştırma potansiyeli gibi farklı kriterlerin de etkili olabileceğini göstermiştir. Verilerin elde edilmesi ve kullanılan teknik açısından literatürde benzer bir araştırmaya rastlanmadığından, çalışmanın bu alanda yapılacak çalışmalara katkı sağlaması beklenmektedir.

Positioning universities based on the preference network of economics department students

The research aims to determine the positioning of universities according to the preferences of university students based on the perceptions of stakeholders receiving service. In the study, the number of preferences for each university included in the YKS preference lists of all students placed in the Department of Economics at universities in Turkey in 2019 were evaluated using the integer method. The data were collected separately from the preference pages of each university through the "Higher Education Program Atlas". In the study, "Modularity Based Community Analysis" was applied with the Gephi program. In the research, the universities with the most critical position in terms of the Economics department were determined. In the preference network, it has been determined that clusters are generally formed based on physical proximity in Istanbul, Izmir, and Eastern and Southeastern Anatolia. The study also showed that the positioning of universities in student preferences might be effective in different criteria such as research potential of universities apart from geographical reasons. Since there is no similar research in the literature regarding obtaining the data and the technique used, it is expected that the study will contribute to the studies in this field.

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