Exploratory pattern mining on social media using geo-references and social tagging information

This paper presents exploratory pattern mining techniques for describing communities of resources (e.g., images) and for characterising locations of interest. We utilise tagging information and collaborative geo-reference annotations for characterising resources locations by a set of descriptive patterns. The methods are embedded into an interactive approach for mining, browsing and visualising a set of patterns. As an exemplary use case, we focus on the social photo sharing application Flickr. Utilising publicly available real-world data from this platform, we provide a structural evaluation of the automatic approach as well as an exemplary case study for demonstrating the effectiveness and validity of the interactive approach.