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• W2963976215 abstract "Bootstrap percolation has been used effectively to model phenomena as diverse as emergence of magnetism in materials, spread of infection, diffusion of software viruses in computer networks, adoption of new technologies, and emergence of collective action and cultural fads in human societies. It is defined on an (arbitrary) network of interacting agents whose state is determined by the state of their neighbors according to a threshold rule. In a typical setting, bootstrap percolation starts by random and independent activation of nodes with a fixed probability p, followed by a deterministic process for additional activations based on the density of active nodes in each neighborhood (θ activated nodes). Here, we study bootstrap percolation on random geometric graphs in the regime when the latter are (almost surely) connected. Random geometric graphs provide an appropriate model in settings where the neighborhood structure of each node is determined by geographical distance, as in wireless ad hoc and sensor networks as well as in contagion. We derive bounds on the critical thresholds p'c, pc such that for all p > pc(θ) full percolation takes place, whereas for p < p'c(θ) it does not." @default.
• W2963976215 created "2019-07-30" @default.
• W2963976215 creator A5061939453 @default.
• W2963976215 creator A5084787837 @default.
• W2963976215 date "2013-01-06" @default.
• W2963976215 modified "2023-09-27" @default.
• W2963976215 title "Bootstrap percolation on random geometric graphs" @default.
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