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On the Correlation between Topic and User Behaviour in Online Communities

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
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.
Conference Name: 
International AAAI Conference on Web and Social Media
Proceedings: 
Proceedings of the 10th International AAAI Conference on Web and Social Media
Digital Object Identifer (DOI): 
10.13025/S8VC7P
Publication Date: 
20/05/2016
Conference Location: 
Germany
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes
Publication document: