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cs.CG2018
Local cliques in ER-perturbed random geometric graphs
Matthew Kahle, Minghao Tian, Yusu Wang
Random graphs are mathematical models that have applications in a wide range of domains. We study the following model where one adds Erdős--Rényi (ER) type perturbation to a random…
cs.CG2017★ 2 cited
A quest to unravel the metric structure behind perturbed networks
Srinivasan Parthasarathy, David Sivakoff, Minghao Tian +1
Graphs and network data are ubiquitous across a wide spectrum of scientific and application domains. Often in practice, an input graph can be considered as an observed snapshot of…