This document discusses anomalous networks and how they can be identified. It begins with a poem about discovering strange and exciting network patterns. It then provides examples of different types of networks like social, transportation, and computer networks. It explains that networks can be static or dynamic and change over time. Anomalies in networks are important to identify as they may signify meaningful events. The document discusses an algorithm called Oddnet that can help automatically find anomalous deviations in network features over time. It provides the example of analyzing anomalous changes in US Senate voting patterns during periods of financial crisis.