Network Science | College of Information Sciences and Technology
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Network Science

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About: Network science is an interdisciplinary area which studies complex networks such as biological networks, computer networks, cognitive networks, social networks, economic and business networks. The field uses many theories and methods including data mining, entity recognition, graph theory, information extraction, network flow, statistical mechanics, visualization, and social structure and is primarily concerned with large scale networks. The National Research Council defines network science as "the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena.”

Faculty: Chao–Hsien Chu, Lee Giles, Vasant Honavar, Dongwon Lee, Jessie Li, Carleen Maitland, Prasenjit Mitra, Sarah RajtmajerDavid Reitter, Amulya Yadav, John Yen, Luke Zhang