Paper Info
Title
Identifying Venues for Female Commercial Sex Work using Spatial Analysis of Geocoded Advertisements.
Abstract
Despite being widely visible on the web, Internet-promoted commercial sex work has so far attracted limited attention from the side of researchers. Current studies outline the issues that new forms of sex work are associated with, however, very little is known to date about their spatial manifestation. In this research we follow the environmental perspective in spatial analysis of crime and deviance with the assumption that the location of venues for provision of commercial sex work can be modeled via the algorithms trained on the distribution of possible correlates in the proximity to the existing venues. Visualization of the acquired results is presented herein along with the errors and score metrics for evaluation of the applicability of specific methods of machine learning. The paper is concluded with the estimation of potential extensions and peculiarities of data used in the research.
Year
DOI
Venue
2016
10.1016/j.procs.2016.05.349
ICCS
Keywords
Field
DocType
spatial analysis,commercial sex work,machine learning,data analysis,venue location
Data science,Geocoding,Computer science,Computer security,Visualization,Environmental perspective,Sex work,Deviance (sociology),Artificial intelligence,Machine learning
Conference
Volume
Issue
ISSN
80
C
1877-0509
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Daniil V. Voloshin1133.95
Ivan Derevitskiy200.34
Ksenia Mukhina310.69
Vladislav A. Karbovskii4225.91