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Measuring media-based social interactions provided by smartphone applications in social networks

Increasing varieties of applications for smartphones allow users to post (upload) multimedia content and interact in social networks. Usually modeled as a graph, social networks are achieved for applying data mining techniques in the analysis of social relations among users. However, these analyses do not make explicit which actions are performed, which types of medias and users' applications for mobile phone are used to provide social interactions. We have been investigating a human-readable technique for representing social interactions as behavioral contingencies -- if-then rules which describe what people do -- and measuring them using data mining procedures. In this paper we apply our technique for analyzing social interactions in group of Facebook users. We present results that enable us to identify the most symmetric social interaction and the smartphone users' application which provides the type of media used in the symmetric social interaction.