An application of community discovery in academical social networks

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Arslan E., Akyokus S., Ganiz M. C.

2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013, Albena, Bulgaristan, 19 - 21 Haziran 2013 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/inista.2013.6577650
  • Basıldığı Şehir: Albena
  • Basıldığı Ülke: Bulgaristan
  • Anahtar Kelimeler: Community Discovery, k-cores, main path analysis
  • Çanakkale Onsekiz Mart Üniversitesi Adresli: Hayır

Özet

The objective of this study is to discover social communities in a social network using different social network community discovery methods that utilize metrics and structures like degree, clustering coefficient, k-cores, weak and strong components. We have used two different datasets and methods: K-core community discovery method for DBLP dataset and Main Path Analysis method for Arxiv High-energy physics theory citation network. At the end of the analyses, we have obtained several reports that represent the skeleton structure of the communities in the networks. © 2013 IEEE.