Network science is an interdisciplinary academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks. The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology. The United States 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."
Read more about Network Science: Background and History, Department of Defense Initiatives, Network Properties, Network Models, Spread of Content in Networks, Interdependent Networks, Network Optimization, Network Analysis and Visualization Tools, See Also, References, Further Reading, External Links
Famous quotes containing the words network and/or science:
“How have I been able to live so long outside Nature without identifying myself with it? Everything lives, moves, everything corresponds; the magnetic rays, emanating either from myself or from others, cross the limitless chain of created things unimpeded; it is a transparent network that covers the world, and its slender threads communicate themselves by degrees to the planets and stars. Captive now upon earth, I commune with the chorus of the stars who share in my joys and sorrows.”
—Gérard De Nerval (1808–1855)
“Copernicanism and other essential ingredients of modern science survived only because reason was frequently overruled in their past.”
—Paul Feyerabend (1924–1994)