Agglomerative Percolation in Two Dimensions
Claire Christensen, Golnoosh Bizhani, Seung-Woo Son, Maya Paczuski and, Peter Grassberger

TL;DR
This paper investigates a novel agglomerative percolation process in two dimensions, revealing different critical behaviors depending on lattice type and cluster selection rules, including a new universality class.
Contribution
It introduces and analyzes agglomerative percolation in 2D, demonstrating new critical phenomena and universality classes distinct from ordinary percolation.
Findings
Continuous transition on square lattice with equal cluster selection
Runaway compact cluster with mass-proportional targeting
Same critical exponents as ordinary percolation on triangular lattice
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 on the triangular lattice has the same critical exponents as ordinary percolation.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Random Matrices and Applications
