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Clustering Foursquare Mobility Networks to Explore Urban Spaces

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Trends and Innovations in Information Systems and Technologies (WorldCIST 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1161))

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Abstract

Our study aimed to explore Foursquare mobility networks and investigate phenomena of clustering venues across the cities. We performed graph-based clustering to detect venues that highly interact among each other in terms of aggregated users mobility flows. Available Foursquare data included check-in information for ten large worldwide cities, observed in the period of two years, each having large number of geo-tagged venues coupled with semantic information in form of venue category. Such data allowed us to study cities as complex systems and explore their dynamic nature. We obtain global overview on the semantics content of clusters derived from venues categories, quantified changes in the clusters on a monthly bases and compared results between cities.

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Notes

  1. 1.

    Overnight (between 00:00:00 and 05:59:59), morning (between 06:00:00 and 09:59:59), midday (between 10:00:00 and 14:59:59), afternoon (between 15:00:00 and 18:59:59), and night (between 19:00:00 and 23:59:59).

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Author information

Authors and Affiliations

  1. Institute BioSense, University of Novi Sad, Novi Sad, Serbia

    Olivera Novović, Nastasija Grujić, Sanja Brdar & Vladimir Crnojević

  2. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

    Miro Govedarica

Authors
  1. Olivera Novović
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  2. Nastasija Grujić
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  3. Sanja Brdar
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  4. Miro Govedarica
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  5. Vladimir Crnojević
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Corresponding author

Correspondence to Olivera Novović .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. FEUP, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata, Italy

    Sandra Costanzo

  5. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

    Irena Orovic

  6. Universidade Portucalense, Porto, Portugal

    Fernando Moreira

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Novović, O., Grujić, N., Brdar, S., Govedarica, M., Crnojević, V. (2020). Clustering Foursquare Mobility Networks to Explore Urban Spaces. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161. Springer, Cham. https://doi.org/10.1007/978-3-030-45697-9_53

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