Predicting crime using Twitter and kernel density estimation-Reference-Cited by-同舟云学术

Predicting crime using Twitter and kernel density estimation

Published:2014-05 Issue: Volume:61 Page:115-125
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Gerber Matthew S.

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference25 articles.

1. Twitter Turns Six;Twitter,2012

2. Three-quarters of smartphone owners use location-based services;Zickuhr,2012

3. On using Twitter to monitor political sentiment and predict election results;Bermingham,2011

4. Can Twitter predict disease outbreaks?;St Louis;British Medical Journal,2012

5. Opening closed regimes: what was the role of social media during the Arab Spring?;Howard,2011

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