Abstract

Toward Predictive Crime Analysis via Social Media, Big Data, and GIS
Track: Big Data
Authors: ANTHONY CORSO

To support dissertation research a link between crime, the linguistic analysis of social media, and data of public domain needed to be observed. Average Nearest Neighbor, Spatial Autocorrelation, and Hot Spot Analysis tools removed the traditional black-box solution for this type of research and dismissed ambiguous notions of the project’s mentors. Outcomes unequivocally appeased concerns and will enlighten audience members wishing to integrate social media corpora in predictive ways via GIS.