6.268 Network Science and Models
Introduces the main mathematical models used to describe large networks and dynamical processes that evolve on networks. Static models of random graphs, preferential attachment, and other graph evolution models. Epidemic propagation, opinion dynamics, social learning, and inference in networks. Applications drawn from social, economic, natural, and infrastructure networks, as well as networked decision systems such as sensor networks.
Lecture occurs 9:30 AM to 11:00 AM on Tuesdays and Thursdays in 4-149.
This class counts for a total of 12 credits.
MIT 6.268 Network Science and Models Related Textbooks
MIT 6.268 Network Science and Models On The Web
© Copyright 2015 Yasyf Mohamedali