DS 8104
Network Science
Course Description
Networks provide a unifying framework to study the structure hidden within complex data. This graduate-level course focuses on the fundamental concepts and statistics as well as recent advancements and applications of network science. Topics include: graph theory, structural paradoxes, measures and algorithms for quantifying importance, community detection, network inference, recommendation systems, and link prediction.
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