A Visual Analytic Environment to Co-locate Peoples' Tweets with City Factual Data

TL;DR

This paper introduces VC-FaT, a visual analytics tool that combines Twitter data and city crime data to facilitate understanding of crime patterns in San Francisco over five years.

Contribution

The paper presents a novel visual analytics environment that integrates social media and factual city data for comprehensive crime analysis.

Findings

Enhanced understanding of crime trends through integrated visualization.

Interactive exploration of social media and factual data improves situational awareness.

Five-year crime analysis demonstrates the tool's effectiveness.

Abstract

Social Media platforms (e.g., Twitter, Facebook, etc.) are used heavily by public to provide news, opinions, and reactions towards events or topics. Integrating such data with the event or topic factual data could provide a more comprehensive understanding of the underlying event or topic. Targeting this, we present our visual analytics tool, called VC-FaT, that integrates peoples' tweet data regarding crimes in San Francisco city with the city factual crime data. VC-FaT provides a number of interactive visualizations using both data sources for better understanding and exploration of crime activities happened in the city during a period of five years.