Wed 01.20.16
Wed 01.20.16
Wed 01.20.16
Wed 01.20.16
complex networks, information networks, political networks, social networks, social network analysis and mining, graph mining, network classification, collaborative decision-making
complex networks, information networks, political networks, social networks, social network analysis and mining, graph mining, network classification, collaborative decision-making
complex networks, information networks, political networks, social networks, social network analysis and mining, graph mining, network classification, collaborative decision-making
complex networks, information networks, political networks, social networks, social network analysis and mining, graph mining, network classification, collaborative decision-making
Network science can uncover the patterns and mechanisms that characterize complex, large-scale networks—whether they’re technological, biological, or social. At Khoury College of Computer Sciences, we develop leading-edge methods for analyzing and visualizing the meaningful interactions and interconnectivity within these complex systems. From predicting key determinants in the spread of infectious disease to understanding the origin and success of memes and ideas, we apply network science to challenges across the biological, natural, social, medical, and administrative sciences.
Network science can uncover the patterns and mechanisms that characterize complex, large-scale networks—whether they’re technological, biological, or social. At Khoury College of Computer Sciences, we develop leading-edge methods for analyzing and visualizing the meaningful interactions and interconnectivity within these complex systems. From predicting key determinants in the spread of infectious disease to understanding the origin and success of memes and ideas, we apply network science to challenges across the biological, natural, social, medical, and administrative sciences.
Network science can uncover the patterns and mechanisms that characterize complex, large-scale networks—whether they’re technological, biological, or social. At Khoury College of Computer Sciences, we develop leading-edge methods for analyzing and visualizing the meaningful interactions and interconnectivity within these complex systems. From predicting key determinants in the spread of infectious disease to understanding the origin and success of memes and ideas, we apply network science to challenges across the biological, natural, social, medical, and administrative sciences.
Network science can uncover the patterns and mechanisms that characterize complex, large-scale networks—whether they’re technological, biological, or social. At Khoury College of Computer Sciences, we develop leading-edge methods for analyzing and visualizing the meaningful interactions and interconnectivity within these complex systems. From predicting key determinants in the spread of infectious disease to understanding the origin and success of memes and ideas, we apply network science to challenges across the biological, natural, social, medical, and administrative sciences.
Our unparalleled group of researchers employs the latest methodological advances in computational thinking, complex systems analysis, and data integration. As a doctoral student, you’ll be immersed in a highly collaborative, interdisciplinary research environment—one that is poised to discover fundamentally new ways to measure, model, predict, and visualize the meaningful interactions and interconnectivity of systems.
Our unparalleled group of researchers employs the latest methodological advances in computational thinking, complex systems analysis, and data integration. As a doctoral student, you’ll be immersed in a highly collaborative, interdisciplinary research environment—one that is poised to discover fundamentally new ways to measure, model, predict, and visualize the meaningful interactions and interconnectivity of systems.
Our unparalleled group of researchers employs the latest methodological advances in computational thinking, complex systems analysis, and data integration. As a doctoral student, you’ll be immersed in a highly collaborative, interdisciplinary research environment—one that is poised to discover fundamentally new ways to measure, model, predict, and visualize the meaningful interactions and interconnectivity of systems.
Our unparalleled group of researchers employs the latest methodological advances in computational thinking, complex systems analysis, and data integration. As a doctoral student, you’ll be immersed in a highly collaborative, interdisciplinary research environment—one that is poised to discover fundamentally new ways to measure, model, predict, and visualize the meaningful interactions and interconnectivity of systems.
