Conference paper Open Access

Discovery of complex anomalous patterns of sexual violence in El Salvador

De-Arteaga, Maria; Dubrawski, Artur

When sexual violence is a product of organized crime or social imaginary, the links between sexual violence episodes can be understood as a latent structure. With this assumption in place, we can use data science to uncover complex patterns. In this paper we focus on the use of data mining techniques to unveil complex anomalous spatio-temporal patterns of sexual violence. We illustrate their use by analyzing all reported rapes in El Salvador over a period of nine years. Through our analysis, we are able to provide evidence of phenomena that,to the best of our knowledge,have not been previously reported in literature. We devote special attention to a pattern we discover in the East, where underage victims report their boyfriends as perpetrators at anomalously high rates. Finally, we explain how such analyzes could be conducted in real-time, enabling early detection of emerging patterns to allow law enforcement agencies and policy makers to react accordingly. 

Files (450.8 kB)
Name Size
72_DeArteaga.pdf
md5:6f428802c2b0cc229feed5720341dbbd
450.8 kB Download
28
10
views
downloads
All versions This version
Views 2828
Downloads 1010
Data volume 4.5 MB4.5 MB
Unique views 2828
Unique downloads 88

Share

Cite as