Universal gap scaling in percolation

Fan, Jingfang; Meng, Jun; Liu, Yang; Ali Saberi, A.; Kurths, Jürgen; Nagler, J.

doi:10.1038/s41567-019-0783-2

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Universal gap scaling in percolation

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/persons/resource/Jingfang.Fan

Fan, Jingfang
Potsdam Institute for Climate Impact Research;

/persons/resource/jun.meng

Meng, Jun
Potsdam Institute for Climate Impact Research;

/persons/resource/yangliu

Liu, Yang
Potsdam Institute for Climate Impact Research;

Ali Saberi, A.
External Organizations;

/persons/resource/Juergen.Kurths

Kurths, Jürgen
Potsdam Institute for Climate Impact Research;

Nagler, J.
External Organizations;

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Zitation

Fan, J., Meng, J., Liu, Y., Ali Saberi, A., Kurths, J., Nagler, J. (2020): Universal gap scaling in percolation. - Nature Physics, 16, 4, 455-461.
https://doi.org/10.1038/s41567-019-0783-2

Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_23575

Zusammenfassung

Universality is a principle that fundamentally underlies many critical phenomena, ranging from epidemic spreading to the emergence or breakdown of global connectivity in networks. Percolation, the transition to global connectedness on gradual addition of links, may exhibit substantial gaps in the size of the largest connected network component. We uncover that the largest gap statistics is governed by extreme-value theory. This allows us to unify continuous and discontinuous percolation by virtue of universal critical scaling functions, obtained from normal and extreme-value statistics. Specifically, we show that the universal scaling function of the size of the largest gap is given by the extreme-value Gumbel distribution. This links extreme-value statistics to universality and criticality in percolation.