2012
DOI: 10.1209/0295-5075/97/16004
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Agglomerative percolation in two dimensions

Abstract: -We study a process termed agglomerative percolation (AP) in two dimensions. Instead of adding sites or bonds at random, in AP randomly chosen clusters are linked to all their neighbors. As a result the growth process involves a diverging length scale near a critical point. Picking target clusters with probability proportional to their mass leads to a runaway compact cluster. Choosing all clusters equally leads to a continuous transition in a new universality class for the square lattice, while the transition … Show more

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Cited by 13 publications
(32 citation statements)
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“…Recent discoveries that widened enormously the scope of different behaviors at the percolation threshold include infinite order transitions in growing networks [1], supposedly first order transitions in Achlioptas processes [2] (that are actually continuous [3,4] but show very unusual finite size behavior [5]), and real first order transitions in interdependent networks [6][7][8][9]. Another class of "non-classical" percolation models, inspired by attempts to formulate a renormalization group for networks [10,11], was introduced in [12][13][14][15][16] and is called 'agglomerative percolation' (AP).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Recent discoveries that widened enormously the scope of different behaviors at the percolation threshold include infinite order transitions in growing networks [1], supposedly first order transitions in Achlioptas processes [2] (that are actually continuous [3,4] but show very unusual finite size behavior [5]), and real first order transitions in interdependent networks [6][7][8][9]. Another class of "non-classical" percolation models, inspired by attempts to formulate a renormalization group for networks [10,11], was introduced in [12][13][14][15][16] and is called 'agglomerative percolation' (AP).…”
Section: Introductionmentioning
confidence: 99%
“…Although a similarly complete mathematical analysis is not possible on random graphs, both numerics and nonrigorous analytical arguments show that the same is true for 'critical' trees [12] and Erdös-Rényi graphs [16]. In contrast to these cases that establish AP as a novel phenomenon but do not present big surprises, the behavior on 2-d regular lattices [13] is extremely surprising: While AP on the triangular lattice is clearly in the OP universality class (with only some minor caveats), it behaves completely different on the square lattice. There the average cluster size at criticality diverges as the system size L increases (it stays finite for all realizations of OP on any regular lattice), the fractal dimension of the incipient giant cluster is D f = 2 (D f = 91/48 ≈ 1.90 for OP), and the cluster mass distribution obeys a power law with power τ = 2 (τ = 187/91 ≈ 2.055 for OP).…”
Section: Introductionmentioning
confidence: 99%
“…Equation (11) implies that this bound is true whenever L > ln L z , in particular for any fixed aspect ratio L z /L. The bound (12) clearly shows that, for the region p (3) c < p B < p B,c (p z ), the system is in a Griffiths phase [29][30][31][32].…”
Section: Griffiths Phase a Spanning Probabilitiesmentioning
confidence: 92%
“…In contrast, the universality of the transition of AP on the triangular lattice, which is not bipartite, is the same as that of the random percolation [12]. Using analytical methods and numerical simulations, APs on the one-dimensional ring [8], the two-dimensional square lattice and triangular lattice [9], critical tree [10], and complex network [11] were studied.…”
Section: Introductionmentioning
confidence: 99%
“…This means that in each growth process multiple bonds can be occupied at the same time. Therefore the natural control parameter in AP 2 is the number of clusters per site n instead of the fraction p of the occupied bonds or sites [9,12].…”
Section: Introductionmentioning
confidence: 99%