The phase transition in the cluster-scaled model of a random graph
Random Structures & Algorithms
Counting connected graphs and hypergraphs via the probabilistic method
Random Structures & Algorithms
Local Limit Theorems for the Giant Component of Random Hypergraphs
APPROX '07/RANDOM '07 Proceedings of the 10th International Workshop on Approximation and the 11th International Workshop on Randomization, and Combinatorial Optimization. Algorithms and Techniques
A new approach to the giant component problem
Random Structures & Algorithms
The order of the giant component of random hypergraphs
Random Structures & Algorithms
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We provide an alternate proof of the central limit theorem for the uctuations of the size of the giant component in sparse random graphs. In contrast with previous proofs, the argument investigates a depth-first search algorithm, through first-passage analysis using couplings and martingale limit theorems. The analysis of the first passage limiting distribution for sequences of Markov chains might be interesting in its own right. This proof naturally provides an upper bound for the rate of convergence.