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Rapid social connectivity. (English) Zbl 1419.82053

Authors’ abstract: Given a graph \(G=(V,E)\), consider Poisson (\(|V|\)) walkers performing independent lazy simple random walks on \(G\) simultaneously, where the initial position of each walker is chosen independently with probability proportional to the degrees. When two walkers visit the same vertex at the same time, they are declared to be acquainted. The social connectivity time \(\text{SC} (G)\) is defined as the first time in which there is a path of acquaintances between every pair of walkers. It is shown that, when the average degree of \(G\) is \(d\), with high probability \[ c\log |V| \le \text{SC} (G) \le C d^{1+5 \cdot 1_{G \text{ is not regular}}} \log ^3 |V|. \] When \(G\) is regular, the lower bound is improved to \(\text{SC} (G) \ge \log |V| -6 \log \log |V| \), with high probability. We determine \(\text{SC} (G)\) up to a constant factor in the cases that \(G\) is an expander and when it is the \(n\)-cycle.

MSC:

82C41 Dynamics of random walks, random surfaces, lattice animals, etc. in time-dependent statistical mechanics
60K35 Interacting random processes; statistical mechanics type models; percolation theory
82B43 Percolation
60J10 Markov chains (discrete-time Markov processes on discrete state spaces)
05C81 Random walks on graphs
91D30 Social networks; opinion dynamics
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