Semantic Scholar Open Access 2012 183 sitasi

Interdependence and predictability of human mobility and social interactions

M. Domenico A. Lima Mirco Musolesi

Lihat Sumber DOI

Abstrak

Previous studies have shown that human movement is predictable to a certain extent at different geographic scales. The existing prediction techniques exploit only the past history of the person taken into consideration as input of the predictors. In this paper, we show that by means of multivariate nonlinear time series prediction techniques it is possible to increase the forecasting accuracy by considering movements of friends, people, or more in general entities, with correlated mobility patterns (i.e., characterised by high mutual information) as inputs. Finally, we evaluate the proposed techniques on the Nokia Mobile Data Challenge and Cabspotting datasets.

Topik & Kata Kunci

Computer Science Physics

Penulis (3)

M. Domenico

A. Lima

Mirco Musolesi

Format Sitasi

APA MLA BibTeX

Domenico, M., Lima, A., Musolesi, M. (2012). Interdependence and predictability of human mobility and social interactions. https://doi.org/10.1016/j.pmcj.2013.07.008

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.pmcj.2013.07.008

Informasi Jurnal

Tahun Terbit: 2012
Bahasa: en
Total Sitasi: 183×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.pmcj.2013.07.008
Akses: Open Access ✓