Giant component

In network theory, a giant component is a connected component of a given random graph that contains a constant fraction of the entire graph's vertices.

Giant components are a prominent feature of the Erdős–Rényi model of random graphs, in which each possible edge connecting pairs of a given set of n vertices is present, independently of the other edges, with probability p. In this model, if p \le \frac{1-\epsilon}{n} for any constant \epsilon>0, then with high probability all connected components of the graph have size O(log n), and there is no giant component. However, for p \ge \frac{1 + \epsilon}{n} there is with high probability a single giant component, with all other components having size O(log n). For p = \frac{1}{n}, intermediate between these two possibilities, the number of vertices in the largest component of the graph is with high probability proportional to n^{2/3}.[1]

Alternatively, if one adds randomly selected edges one at a time, starting with an empty graph, then it is not until approximately n/2 edges have been added that the graph contains a large component, and soon after that the component becomes giant. More precisely, when t edges have been added, for values of t close to but larger than n/2, the size of the giant component is approximately 4t-2n.[1] However, according to the coupon collector's problem, \Theta(n\log n) edges are needed in order to have high probability that the whole random graph is connected.

A similar sharp threshold between parameters that lead to graphs with all components small and parameters that lead to a giant component also occurs in random graphs with non-uniform degree distributions.[2]

References

  1. 1.0 1.1 Bollobás, Béla (2001), "6. The Evolution of Random Graphs—The Giant Component", Random Graphs, Cambridge studies in advanced mathematics 73 (2nd ed.), Cambridge University Press, pp. 130–159, ISBN 978-0-521-79722-1.
  2. Chung, Fan R. K. (2006), "6. The Rise of the Giant Component", Complex Graphs and Networks, Regional Conference Series in Mathematics 107, American Mathematical Society, pp. 113–142, ISBN 978-0-8218-3657-6 |first2= missing |last2= in Authors list (help).