Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics-Reference-Cited by-同舟云学术

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Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics

Published:2015-09 Issue:3 Volume:3 Page:148-158
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Bogomolov Andrey¹,Lepri Bruno²,Staiano Jacopo³,Letouzé Emmanuel⁴⁵,Oliver Nuria⁶,Pianesi Fabio²,Pentland Alex⁷

Affiliation:

1. University of Trento, Trento, Italy.

2. Fondazione Bruno Kessler, Trento, Italy.

3. Sorbonne Universités, Paris, France.

4. University of California–Berkeley, Berkeley, California.

5. Data-Pop Alliance, New York, New York.

6. Telefonica Research, Barcelona, Spain.

7. MIT Media Lab, Cambridge, Massachusetts.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

http://www.liebertpub.com/doi/pdf/10.1089/big.2014.0054

Reference48 articles.

1. Computational Social Science

2. Quantifying the Impact of Human Mobility on Malaria

3. An Agent-Based Model of Epidemic Spread Using Human Mobility and Social Network Information

4. Network Diversity and Economic Development

5. Prediction of human emergency behavior and their mobility following large-scale disaster

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