Browsing Data Science Institute by Author "Aumayr, Erik"
Now showing items 1-6 of 6
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Categorising the online communities of stack exchange using quantitative user behaviour features
Aumayr, Erik (Insight Centre for Data Analytics, NUI Galway, 2016-03-02)Maintaining online communities is vital in order to increase and retain their economic and social value. Before applying any performance altering strategies, it is important to determine the different types of communities, ... -
Modelling User Behaviour in Online Q&A Communities for Customer Support
Aumayr, Erik; Hayes, Conor (Springer, 2014)[no abstract available] -
On the correlation between topic and user behaviour in online communities
Aumayr, Erik; Hayes, Conor (ICWSM-16, 2016-05-20)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 ... -
The path to success: A study of user behaviour and success criteria in online communities
Aumayr, Erik; Hayes, Conor (ACM, 2017-08-23)Maintaining online communities is vital in order to increase and retain their economic and social value. That is why community managers look to gauge the success of their communities by measuring a variety of user behaviour, ... -
Reconstruction of Threaded Conversations in Online Discussion Forums
Aumayr, Erik; Jeffrey, Chan; Hayes, Conor (Fifth International AAAI Conference on Weblogs and Social Media, 2011-07-18)[no abstract available] -
Separating the wheat from the chaff: Evaluating success determinants for online Q&A communities
Aumayr, Erik; Hayes, Conor (NUI Galway, 2017-05-15)Researchers and community managers try to measure the success of online communities using a variety of success determinants, such as member activity, turnover and interaction. Although many success determinants have been ...