Clustering Foursquare Mobility Networks to Explore Urban Spaces
Authors/Creators
- 1. BioSense Institute, University of Novi Sad, Novi Sad, Serbia
- 2. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Description
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 seman-
tics content of clusters derived from venues categories, quantified changes
in the clusters on a monthly bases and compared results between cities.
Files
Restricted
The record is publicly accessible, but files are restricted. <a href="https://zenodo.org/account/settings/login?next=https://zenodo.org/records/3975892">Log in</a> to check if you have access.
Request access
If you would like to request access to these files, please fill out the form below.
You need to satisfy these conditions in order for this request to be accepted:
SpringerLink provides access to the publication but only after log in and charges are paid.
You are currently not logged in. Do you have an account? Log in here