Dynamic Text Networks
David Banks, Duke University
There are many examples of dynamic text networks, such as the Wikipedia and citation networks. This research combines models for dynamic networks with topic models in the context of U.S. political blogs. The key idea is that if two bloggers are linking to each other, then they are discussing the same topic, so the network structure should inform topic discovery. Similarly, if two bloggers are interested in the same topic, they are more likely to link, so the topic mining should improve inference on network dynamics. This leads to new methods for community detection and interpretable insight into topic evolution.