Network theory


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Network theory deals with artificial and natural networks and aims to classify their structures mathematically. This is done above all with the help of “graph theory”, which allows the elements (nodes) of a network and the lines connecting them (edges) to be modelled.

Of particular interest are networks with a connection structure that is neither completely random nor completely regular. Such “non-trivial” networks play an important part in computer technology (e.g., the world-wide web), in biology (e.g., protein–protein interactions) and in social contexts. Further applications of network theory can be found in climate research, epidemiology and logistics. The fundamental development of modern network theory was done by Albert-László Barabási, and the theory of autocatalytic networks was developed mainly by  Stuart Kauffmann.

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