For the statistical concept, see Central tendency.
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In graph theory and network analysis, indicators of centrality assign numbers or rankings to nodes within a graph corresponding to their network position. Applications include identifying the most influential person(s) in a social network, key infrastructure nodes in the Internet or urban networks, super-spreaders of disease, and brain networks.[1][2] Centrality concepts were first developed in social network analysis, and many of the terms used to measure centrality reflect their sociological origin.[3]
^van den Heuvel MP, Sporns O (December 2013). "Network hubs in the human brain". Trends in Cognitive Sciences. 17 (12): 683–96. doi:10.1016/j.tics.2013.09.012. PMID 24231140. S2CID 18644584.
^Saberi M, Khosrowabadi R, Khatibi A, Misic B, Jafari G (January 2021). "Topological impact of negative links on the stability of resting-state brain network". Scientific Reports. 11 (1): 2176. Bibcode:2021NatSR..11.2176S. doi:10.1038/s41598-021-81767-7. PMC 7838299. PMID 33500525.
^Newman, M.E.J. 2010. Networks: An Introduction. Oxford, UK: Oxford University Press.
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