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2026-27 Fall - MSDM5056 - Network Modeling

Course

Description

Instructor(s)/Supervisor(s)/Coordinator(s): Sai Ping LI
Empirical study of networks in social science, economics, finance, biology and technology, network models: random networks, small world networks, scale free networks, spatial and hierarchical networks, evolving networks, methods to generate them with a computer, dynamical processes on complex networks: network search, epidemic spreading, rumor and information spreading, community detection algorithms, applications of network theory.
Course period1/09/2631/12/26
Course levelPG
Course formatLecture