Revealing the Life of a Twitter Troll with Visual Timeline Analytics

The article describes a new approach to visualizing graph data, called visual timeline analytics. It uses Neo4j, a graph database, and the KronoGraph toolkit to create an interactive timeline application that reveals the daily life of Twitter trolls. The application explores time-based graph data by transforming nodes and relationships into entities and events that unfold over time, providing insights into how connected events evolve. The toolkits used include KronoGraph and ReGraph for charting, which offer flexibility, scalability, and intuitive interfaces for end users.