TY - GEN
T1 - On the correlation between topic and user behaviour in online communities
AU - Aumayr, Erik
AU - Hayes, Conor
N1 - Publisher Copyright:
© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - In the advancement of a better understanding of user behaviour on the Internet, clustering approaches are used as a means to group and categorise online communities. Although clustering approaches indicate similarity between communities (e.g. through an a priori defined distance function based on user behaviour features) they do not show what causes the differences between the types of communities. In this paper, we study the effects that certain types of topics may have on user behaviour. We cluster 29 online communities of the Stack Exchange platform, and we show the correlation between the clustered user behaviour and the three latent topic properties Accessibility, Sociability and Controversy.
AB - In the advancement of a better understanding of user behaviour on the Internet, clustering approaches are used as a means to group and categorise online communities. Although clustering approaches indicate similarity between communities (e.g. through an a priori defined distance function based on user behaviour features) they do not show what causes the differences between the types of communities. In this paper, we study the effects that certain types of topics may have on user behaviour. We cluster 29 online communities of the Stack Exchange platform, and we show the correlation between the clustered user behaviour and the three latent topic properties Accessibility, Sociability and Controversy.
UR - https://www.scopus.com/pages/publications/84979518375
M3 - Conference Publication
AN - SCOPUS:84979518375
T3 - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
SP - 531
EP - 534
BT - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
PB - AAAI Press
T2 - 10th International Conference on Web and Social Media, ICWSM 2016
Y2 - 17 May 2016 through 20 May 2016
ER -