Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SMARTCOMP.2018.00025 | 2018 IEEE International Conference on Smart Computing (SMARTCOMP) |
Keywords | Field | DocType |
Mobile phone dataset,Mobile users behavior,Urban cohesive groups | Social relation,Social group,Internet privacy,Phone,Mobile phone,Mobile broadband,Interpersonal ties,Internet traffic,Business,The Internet | Conference |
ISBN | Citations | PageRank |
978-1-5386-4706-6 | 0 | 0.34 |
References | Authors | |
16 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Quadri | 1 | 27 | 7.96 |
| Matteo Zignani | 2 | 85 | 13.07 |
| Sabrina Gaito | 3 | 209 | 29.64 |
| Gian Paolo Rossi | 4 | 390 | 78.09 |