Community Detection in Social Networks Using Content and Link Analysis

Kakisim A., Sogukpinar I.

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.1521-1524, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2015.7130135
  • Basıldığı Şehir: Malatya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1521-1524
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

Recently, community detection in social networks is studied as a major problem. Most existing methods solve the problem of community detection using link structure of networks. In this case, communities only reflect the topological features of network. Documents of social members in network are ignored. In this paper, hierarchical modularity maximization algorithm that is frequently used in literature is modified using similarities between members. Experiments on real data sets, proposed algorithm can achieve a better performance.