Text mining and social network analysis on computer science and engineering theses in Turkey
15th International Conference on Computer Systems and Technologies, CompSysTech 2014, Ruse, Bulgaristan, 27 - 28 Haziran 2014, cilt.883, ss.187-193, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 883
- Doi Numarası: 10.1145/2659532.2659639
- Basıldığı Şehir: Ruse
- Basıldığı Ülke: Bulgaristan
- Sayfa Sayıları: ss.187-193
- Anahtar Kelimeler: Computer engineering, Computer science, Graduate theses, Social network analysis, Text mining
- Maltepe Üniversitesi Adresli: Evet
Özet
In this study, we examined 6,834 master's and PhD theses conducted on computer science and engineering between 1994 and 2013 in Turkey. Thesis data were compiled from the YÖK national thesis database web portal. We used text mining techniques to extract research concepts and their co-occurrence data from graduate thesis abstracts. Then, we applied social network analysis techniques on the concept cooccurrence networks to visually explore core research concepts, and connections and relationships among them. We showed that text mining and social network analysis techniques together were very effective for knowledge discovery in scientific documents in computer science and engineering domain.