Understanding common properties in time-evolving graphs is useful for gaining important information about specific networks. Certain graph properties may provide a better understanding of how a network is evolving, and critical time points in its evolution. Furthermore, being able to detect anomalies in interactive networks is useful for detecting fraud, insider trading, and other illegal practices. This work introduces a tool for analyzing networks: ADAGE, a software package, plots and points out anomalies and "phase transitions" in graphs.

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