Infuencee Oriented Topic Prediction: Investigating the Effect of Influence on the Author

Yükselen M., Mutlu A., Karagöz P.

M. Yukselen, A. Mutlu, P. Karagoz, ”Infuencee Oriented Topic Prediction: Investigating the Effect of Influence on the Author, The 9th International Conference on Web Intelligence, Seoul, Güney Kore, 26 - 28 Haziran 2019 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1145/3326467.3326488
  • Basıldığı Şehir: Seoul
  • Basıldığı Ülke: Güney Kore
  • Anahtar Kelimeler: information flow, social networks, link prediction
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

In this paper, we study the problem of topic adoption prediction for an author within a social academic network. The previous efforts on the problem use topic similarity and topic adoption of co-authors. We model the problem with an influence detection point of view, and propose that the influence on the author is an important factor. Hence, we define a novel influencee prediction based feature. To this aim, in this work, an algorithm is proposed to calculate the influence propagated towards the author. The effect of this feature is explored together with and in comparison to other features used in the literature for the problem. The experiments conducted on Arnet Miner data set show that accumulated influence on author is effective for predicting topic adoption.