The city's social structure is mainly based on the activities and behavior of small groups of people whose cohesion is preserved by their tight social relations. The interactions that people have among themselves and with the places/services of the city ensure strength and duration to these social ties. Among the many media at disposal today to carry on social activities, on-phone and off-line interactions are those mainly involved in the creation of the strongest social links. In this paper we leverage mobile data to detect groups of people with strong ties and to identify the urban places where they are used to gather. We apply this methodology to the city of Milan, by means of a large anonymized dataset of Call Detail Records (CDRs) collecting phone activities (calls, texts, and Internet traffic) of about 1 million mobile users. The paper shows that mobile phone data enables to detect socially cohesive groups gathering in city's places.
Gathering behavior of groups of people in a city / C. Quadri, M. Zignani, S. Gaito, G.P. Rossi - In: 2018 IEEE International Conference on Smart Computing (SMARTCOMP)[s.l] : IEEE, 2018 Jun. - ISBN 9781538647059. - pp. 333-338 (( convegno International Conference on Smart Computing tenutosi a Taormina nel 2018 [10.1109/SMARTCOMP.2018.00025].
Gathering behavior of groups of people in a city
C. Quadri
;M. Zignani;S. Gaito;G.P. Rossi
2018
Abstract
The city's social structure is mainly based on the activities and behavior of small groups of people whose cohesion is preserved by their tight social relations. The interactions that people have among themselves and with the places/services of the city ensure strength and duration to these social ties. Among the many media at disposal today to carry on social activities, on-phone and off-line interactions are those mainly involved in the creation of the strongest social links. In this paper we leverage mobile data to detect groups of people with strong ties and to identify the urban places where they are used to gather. We apply this methodology to the city of Milan, by means of a large anonymized dataset of Call Detail Records (CDRs) collecting phone activities (calls, texts, and Internet traffic) of about 1 million mobile users. The paper shows that mobile phone data enables to detect socially cohesive groups gathering in city's places.File | Dimensione | Formato | |
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