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{{Network science}}
{{Network science}}
In [[statistical physics]] and [[mathematics]], '''percolation theory''' describes the behavior of a network when nodes or links are removed. This is a type of phase transition, since at a critical fraction of removal the network breaks into [[Glossary of graph theory|connected]] clusters. The applications of percolation theory to [[materials science]] and in many other disciplines are discussed here and in the articles [[network theory]] and [[percolation]].
In [[statistical physics]] and [[mathematics]], '''percolation theory''' describes the behavior of a network when nodes or links are added. This is a type of phase transition, since at a critical fraction of removal the network breaks into [[Glossary of graph theory|connected]] clusters. The applications of percolation theory to [[materials science]] and in many other disciplines are discussed here and in the articles [[network theory]] and [[percolation]].
In statistical physics and mathematics, percolation theory describes the behavior of a network when nodes or links are removed. This is a type of phase transition, since at a critical fraction of removal the network breaks into connected clusters. The applications of percolation theory to materials science and in many other disciplines are discussed here and in the articles network theory and percolation.
In statistical physics and mathematics, percolation theory describes the behavior of a network when nodes or links are removed. This is a type of phase transition, since at a critical fraction of removal the network breaks into connected clusters. The applications of percolation theory to materials science and in many other disciplines are discussed here and in the articles network theory and percolation.