Semantics of User Interaction in Social Media.

In ubiquitous and social web applications, there are different user traces, for example, produced explicitly by “tweeting” via twitter or implicitly, when the corresponding activities are logged within the application’s internal databases and log files. Each set of user interactions can then be mapped to a network, with links between users according to their observed interactions. In this paper, we analyze correlations between different interaction networks. We collect for every user certain external properties which are independent of the given network structure. Based on these properties, we then calculate semantically grounded reference relations among users and present a framework for capturing semantics of user relations. The experiments are performed using different interaction networks from the twitter, flickr and BibSonomy systems.