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In the context of network theory, a complex network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in networks representing real systems. The study of complex networks is a young and active area of scientific research[1][2] (since 2000) inspired largely by empirical findings of real-world networks such as computer networks, biological networks, technological networks, brain networks,[3][4][5] climate networks and social networks.
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