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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Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

12 Citaten (Scopus)

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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.

Originele taal-2	Engels
Titel	Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	485-492
Aantal pagina's	8
Volume	2017-January
ISBN van elektronische versie	9781538615621
DOI's	https://doi.org/10.1109/IRI.2017.69
Status	Gepubliceerd - 8 nov. 2017
Evenement	18th IEEE International Conference on Information Reuse and Integration, IRI 2017 - San Diego, Verenigde Staten van Amerika Duur: 4 aug. 2017 → 6 aug. 2017 https://www.sis.pitt.edu/iri2017/

Congres

Congres	18th IEEE International Conference on Information Reuse and Integration, IRI 2017
Verkorte titel	IRI2017
Land/Regio	Verenigde Staten van Amerika
Stad	San Diego
Periode	4/08/17 → 6/08/17
Internet adres	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, blz. 485-492). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IRI.2017.69

@inproceedings{ca482138e86f4f5e9399be9fb39a9f0d,

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",

month = nov,

day = "8",

doi = "10.1109/IRI.2017.69",

language = "English",

volume = "2017-January",

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/",

}

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, blz. 485-492, 18th IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, California, Verenigde Staten van Amerika, 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. blz. 485-492.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

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

AU - Diamantini, Claudia

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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U2 - 10.1109/IRI.2017.69

DO - 10.1109/IRI.2017.69

M3 - Conference contribution

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VL - 2017-January

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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

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ER -

Discovering mobility patterns of instagram users through process mining techniques

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