Adam Wilander: Leveraging the dynamics of an aggregation equation to extract community structure
- Thursday, October 19, 2017 from 3:10pm to 4:00pm
- Wilson Hall, 1-144 - view map
Swarming and aggregation are natural phenomena that occur in a variety of contexts, from schooling in fish, flocking in birds, to bacterial colonization. This behavior often results from simple underlying rules for each particle-particle interaction. In this talk, we examine an aggregation model with a random underlying network topology between particles. We review some past results on the subject and extend it to incorporate latent community structure. We then explore the community structured model’s dynamics as the network topology varies, offering simple heuristics for its behavior. Finally, we evaluate a potential application for community detection.