Browsing Data Science Institute by Subject "Online communities"
Now showing items 1-4 of 4
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Categorising the online communities of stack exchange using quantitative user behaviour features
(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, ... -
On the correlation between topic and user behaviour in online communities
(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
(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, ... -
Targeting online communities to maximise information diffusion
(Association for Computing Machinery, 2012-04)In recent years, many companies have started to utilise online social communities as a means of communicating with and targeting their employees and customers. Such online communities include discussion fora which are ...