Exploratory pattern mining on social media using geo-references and social tagging information. (1st January 2013)

• Record Type: Journal Article
• Authors: Atzmueller, Martin; Lemmerich, Florian
• Is Part Of: International journal of Web science. Volume 2:Number 1/2(2013)
• Page Start: 80
• Page End: 112
• Publication Date: 2013-01-01
• Subjects: social web -- social media -- community detection -- pattern mining -- geospatial analysis -- web science; World Wide Web -- Periodicals; Communication in science -- Periodicals; 004.67805
• Languages: English
• ISSNs: 1757-8795

Abstract

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.