Discovering Mobility Patterns of Instagram Users through Process Mining Techniques

Claudia Diamantini · Laura Genga · Fabrizio Marozzo · Domenico Potena · Paolo Trunfio A

15 citations0/0 files storedIEEE International Conference on Information Reuse and Integration (IRI)

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Human Mobility and Location-Based Analysis Business Process Modeling and Analysis Data Management and Algorithms

Abstract

Every day a huge amount of data is generated by users of social media platforms, like Facebook, Twitter and so on. Analyzing data posted by people interested in a given topic or event allows inferring patterns and trends about people behaviors on a very large scale. These posts are often geotagged, this way enabling mobility pattern analysis. In this work, we investigate the use of Process Mining techniques to support the discovery and the analysis of mobility patterns of social media users. We discuss the results obtained analyzing posts of Instagram users who visited EXPO 2015, the Universal Exposition hosted in Milan, Italy, from May to October 2015.

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References

2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2007Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City 2006Process mining with the HeuristicsMiner algorithm 2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour 2010Travel route recommendation using geotags in photo sharing sites 2010Photo2Trip

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