This work analyses the existing connections between public spaces in the city, by developing a new ranking method based on the information related to citizens' movement in the urban space using social media. We propose a NodeRank algorithm, a modified version of the Page-Rank algorithm, which introduces a new reticular perspective as it considers both incoming links in a page, and outgoing links too. The proposed algorithm has been tested with a dataset of geolocated Tweets collected in previous research. Results indicate that the proposed Node-Rank Algorithm offers an excellent performance in identifying the places of greatest interest from the point of view of Twitter users and it is useful to reconstruct the network between public spaces in the city.

(2017). A Network-based Ranking Approach to Discover Places Visited by Tourists from Geo-located Tweets . Retrieved from http://hdl.handle.net/10446/123898

A Network-based Ranking Approach to Discover Places Visited by Tourists from Geo-located Tweets

Cortesi, Nicola;Gotti, Kevin;Psaila, Giuseppe;Burini, Federica;
2017-01-01

Abstract

This work analyses the existing connections between public spaces in the city, by developing a new ranking method based on the information related to citizens' movement in the urban space using social media. We propose a NodeRank algorithm, a modified version of the Page-Rank algorithm, which introduces a new reticular perspective as it considers both incoming links in a page, and outgoing links too. The proposed algorithm has been tested with a dataset of geolocated Tweets collected in previous research. Results indicate that the proposed Node-Rank Algorithm offers an excellent performance in identifying the places of greatest interest from the point of view of Twitter users and it is useful to reconstruct the network between public spaces in the city.
2017
Cortesi, Nicola; Gotti, Kevin; Psaila, Giuseppe; Burini, Federica; Lwin, Khin T.; Hossain, M. A.
File allegato/i alla scheda:
File Dimensione del file Formato  
network-based-approach.pdf

Solo gestori di archivio

Versione: publisher's version - versione editoriale
Licenza: Licenza default Aisberg
Dimensione del file 323.19 kB
Formato Adobe PDF
323.19 kB Adobe PDF   Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/123898
Citazioni
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 2
social impact