Discovering mobility patterns of instagram users through process mining techniques

Claudia Diamantini, Laura Genga, Fabrizio Marozzo, Domenico Potena, Paolo Trunfio

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017
PublisherInstitute of Electrical and Electronics Engineers
Pages485-492
Number of pages8
Volume2017-January
ISBN (Electronic)9781538615621
DOIs
Publication statusPublished - 8 Nov 2017
Event18th IEEE International Conference on Information Reuse and Integration, IRI 2017 - San Diego, United States
Duration: 4 Aug 20176 Aug 2017
https://www.sis.pitt.edu/iri2017/

Conference

Conference18th IEEE International Conference on Information Reuse and Integration, IRI 2017
Abbreviated titleIRI2017
CountryUnited States
CitySan Diego
Period4/08/176/08/17
Internet address

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