Network theory
Study of graphs as a representation of relations between discrete objects / From Wikipedia, the free encyclopedia
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In mathematics, computer science and network science, network theory is a part of graph theory. It defines networks as graphs where the nodes or edges possess attributes. Network theory analyses these networks over the symmetric relations or asymmetric relations between their (discrete) components.
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Network theory has applications in many disciplines, including statistical physics, particle physics, computer science, electrical engineering,[1][2] biology,[3] archaeology,[4] linguistics,[5][6][7] economics, finance, operations research, climatology, ecology, public health,[8][9][10] sociology,[11] psychology,[12] and neuroscience.[13][14][15] Applications of network theory include logistical networks, the World Wide Web, Internet, gene regulatory networks, metabolic networks, social networks, epistemological networks, etc.; see List of network theory topics for more examples.
Euler's solution of the Seven Bridges of Königsberg problem is considered to be the first true proof in the theory of networks.