@inproceedings{804a78d71f6548149e8d3def2e3cd524,
title = "Modelling Experts Behaviour in Q&A Communities to Predict Worthy Discussions",
abstract = "This paper investigates expert behaviour in Q&A communities in order to understand their influence in online discussions. Our evaluation shows that experts are more likely to provide help than non-experts, and when they participate in a discussion, the quality and length of the discussions tend to increase. In addition, we propose the usage of two models (Artificial Neural Network and Stochastic Gradient Boosting) to predict worthy discussions in the community. The results show that some adjustments in the models' parameters and in the input data can significantly improve the quality of the predictions.",
keywords = "Q&A community analysis, expert behaviour, graph analysis, interaction analysis, worthy discussions",
author = "Procaci, {Thiago B.} and Siqueira, {Sean W.M.} and Nunes, {Bernardo Pereira} and Terhi Nurmikko-Fuller",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017 ; Conference date: 03-07-2017 Through 07-07-2017",
year = "2017",
month = aug,
day = "3",
doi = "10.1109/ICALT.2017.56",
language = "English",
series = "Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "291--295",
editor = "Ronghuai Huang and Radu Vasiu and Kinshuk and Sampson, {Demetrios G} and Nian-Shing Chen and Maiga Chang",
booktitle = "Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017",
address = "United States",
}