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In network science, a critical point is a value of , which separates random networks that have a giant component from those that do not (i.e. it separates a network in a subcritical regime from one in a supercritical regime). Considering a random network with an average degree the critical point is where the average degree is defined by the fraction of the number of edges and nodes in the network, that is .

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  • In network science, a critical point is a value of , which separates random networks that have a giant component from those that do not (i.e. it separates a network in a subcritical regime from one in a supercritical regime). Considering a random network with an average degree the critical point is where the average degree is defined by the fraction of the number of edges and nodes in the network, that is . (en)
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  • In network science, a critical point is a value of , which separates random networks that have a giant component from those that do not (i.e. it separates a network in a subcritical regime from one in a supercritical regime). Considering a random network with an average degree the critical point is where the average degree is defined by the fraction of the number of edges and nodes in the network, that is . (en)
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  • Critical point (network science) (en)
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