Systematic Literature Review of Detecting Topics and Communities in Social Networks

Şencan Ö. A., Atacak İ., Doğru İ. A.

2021 1st International Conference On Informatics And Computer Science (ICI-CS2021), Ankara, Türkiye, 9 - 11 Aralık 2021, ss.114-118

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.114-118
  • Gazi Üniversitesi Adresli: Evet

Özet

The exponential increase in the number of active social media users has made social media one of the main sources for extracting information online. This has raised the importance of social media. As a result, it has been inevitable for researchers to work on concepts covering different topics and concepts on social media. This paper consists of a systematic and in-depth literature review on the concept of topic detection and community detection concepts on social media platforms to provide a comprehensive view of these areas. The results of our literature reviews, most of which focused on machine learning-based methods as the model to be used, have shown that a unique model cannot be proposed for the community and topic detection in terms of performance and that the appropriate model can only be selected or created by considering some specific characteristics of the given problem.