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.

Discovering Mobility Patterns of Instagram Users through Process Mining Techniques / Diamantini, Claudia; Genga, Laura; Marozzo, Fabrizio; Potena, Domenico; Trunfio, Paolo. - (2017), pp. 485-492. (Intervento presentato al convegno The 2017 IEEE International Conference on Information Reuse and Integration (IRI) tenutosi a San Diego, CA, USA nel 4-6 Aug. 2017) [10.1109/IRI.2017.69].

Discovering Mobility Patterns of Instagram Users through Process Mining Techniques

Diamantini, Claudia;Potena, Domenico;
2017-01-01

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.
2017
978-1-5386-1562-1
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/251880
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 7
social impact