Name
Abstract | ||
|---|---|---|
Nowadays mobile phone data are an actual proxy for studying the users' social life and urban dynamics. In this paper we present the Sociometer, and analytical framework aimed at classifying mobile phone users into behavioral categories by means of their call habits. The analytical process starts from spatio-temporal profiles, learns the different behaviors, and returns annotated profiles. After the description of the methodology and its evaluation, we present an application of the Sociometer for studying city users of one small and one big city, evaluating the impact of big events in these cities. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/BigData.2015.7363852 | Big Data |
Keywords | DocType | Citations |
mobile phone data, individual profiles, classification, semi-automatic methods | Conference | 4 |
PageRank | References | Authors |
0.45 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorenzo Gabrielli | 1 | 109 | 10.41 |
| Barbara Furletti | 2 | 80 | 7.87 |
| Roberto Trasarti | 3 | 710 | 45.82 |
| Fosca Giannotti | 4 | 2948 | 253.39 |
| Dino Pedreschi | 5 | 3083 | 244.47 |