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Network ⚪｜Definition｜1st｜20260513175229-00-⌔
Complex network
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 research12 (since 2000) inspired largely by empirical findings of real-world networks such as computer networks, biological networks, technological networks, brain networks,34 and social networks.
Printed 2026-06-28.
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Link to original Footnotes
R. Albert and A.-L. Barabási (2002). “Statistical mechanics of complex networks”. Reviews of Modern Physics. 74 (1): 47–49. arXiv:cond-mat/0106096. Bibcode:2002RvMP…74…47A. doi:10.1103/RevModPhys.74.47. S2CID 60545. ↩
Mark Newman (2010). Networks: An Introduction. Oxford University Press. ISBN 978-0-19-920665-0. ↩
Bassett, Danielle S; Sporns, Olaf (2017-02-23). “Network neuroscience”. Nature Neuroscience. 20 (3): 353–364. doi:10.1038/nn.4502. ISSN 1097-6256. PMC 5485642. PMID 28230844. ↩
Alex Fornito. “An Introduction to Network Neuroscience: How to build, model, and analyse connectomes - 0800-10:00 | OHBM”. pathlms.com. Retrieved 2020-03-11. ↩
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