Discovering mobility patterns of instagram users through process mining techniques

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

doi:10.1109/IRI.2017.69

Discovering mobility patterns of instagram users through process mining techniques

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

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

9 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 language	English
Title of host publication	Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	485-492
Number of pages	8
Volume	2017-January
ISBN (Electronic)	9781538615621
DOIs	https://doi.org/10.1109/IRI.2017.69
Publication status	Published - 8 Nov 2017
Event	18th IEEE International Conference on Information Reuse and Integration, IRI 2017 - San Diego, United States Duration: 4 Aug 2017 → 6 Aug 2017 https://www.sis.pitt.edu/iri2017/

Conference

Conference	18th IEEE International Conference on Information Reuse and Integration, IRI 2017
Abbreviated title	IRI2017
Country/Territory	United States
City	San Diego
Period	4/08/17 → 6/08/17
Internet address	https://www.sis.pitt.edu/iri2017/

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10.1109/IRI.2017.69

Cite this

Diamantini, C., Genga, L., Marozzo, F., Potena, D., & Trunfio, P. (2017). Discovering mobility patterns of instagram users through process mining techniques. In Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017 (Vol. 2017-January, pp. 485-492). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IRI.2017.69

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title = "Discovering mobility patterns of instagram users through process mining techniques",

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.",

author = "Claudia Diamantini and Laura Genga and Fabrizio Marozzo and Domenico Potena and Paolo Trunfio",

year = "2017",

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doi = "10.1109/IRI.2017.69",

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pages = "485--492",

booktitle = "Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "18th IEEE International Conference on Information Reuse and Integration, IRI 2017, IRI2017 ; Conference date: 04-08-2017 Through 06-08-2017",

url = "https://www.sis.pitt.edu/iri2017/",

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Diamantini, C, Genga, L, Marozzo, F, Potena, D & Trunfio, P 2017, Discovering mobility patterns of instagram users through process mining techniques. in Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers, pp. 485-492, 18th IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, California, United States, 4/08/17. https://doi.org/10.1109/IRI.2017.69

Discovering mobility patterns of instagram users through process mining techniques. / Diamantini, Claudia; Genga, Laura; Marozzo, Fabrizio et al.
Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers, 2017. p. 485-492.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Discovering mobility patterns of instagram users through process mining techniques

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AU - Genga, Laura

AU - Marozzo, Fabrizio

AU - Potena, Domenico

AU - Trunfio, Paolo

PY - 2017/11/8

Y1 - 2017/11/8

N2 - 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.

AB - 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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M3 - Conference contribution

AN - SCOPUS:85044233974

VL - 2017-January

SP - 485

EP - 492

BT - Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017

PB - Institute of Electrical and Electronics Engineers

T2 - 18th IEEE International Conference on Information Reuse and Integration, IRI 2017

Y2 - 4 August 2017 through 6 August 2017

ER -

Discovering mobility patterns of instagram users through process mining techniques

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