TempoGRAPHer: A Tool for Aggregating and Exploring Evolving Graphs

Abstract

Graphs offer a generic abstraction for modeling entities as nodes and their interactions and relationships as edges. Since most graphs evolve over time, it is important to study their evolution. To this end, we propose demonstrating TempoGRAPHer, a tool that provides an overview of the evolution of an attributed graph offering aggregation at both the time and the attribute dimensions. The tool also supports a novel exploration strategy that helps in identifying time intervals of significant growth, shrinkage, or stability. Finally, we describe a scenario that showcases the usefulness of the TempoGRAPHer tool in understanding the evolution of contacts between primary school students.