Very Sparse Graphs
We hold to the view proposed in the original papers of Erdös and Rényi that the random graph G(n, p) evolves as p increases from empty to full. In its early stages — much like natural evolution — the behaviors are relatively simple to describe. For the random graph, early stages means up to p ͠ 1/n. As we are viewing the random graph through only a first order lens we shall actually go a bit further in this section. We summarize the results of Section 3.1 – 3.5 with Theorem 3.0.8.
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