Randomized algorithms (intro)

Learn How Graph Algorithms Work

Graph Plotting in Python | Set 1 - GeeksforGeeks

Overview: Graph Models

Describe probabilistic models that explain events of random beh... | Filo

I Built an Erdős-Rényi Graph Generator

The diameter and mixing time of critical random graphs

Degree distribution2 points possible (graded)Consider node j in an Erdos-Renyi model G(n, p). Potentially, it could be connected through edges to up to n - 1 othernodes, where the presence of each edge is distributed according to Binomial(1, p). Thus, the degree, kj, of node j is thesum of n - 1 random variables distributed according to Binomial(1, p). Therefore, kj ∼ Binomial(n - 1, p).It follows that the expected value of the degree isE[kj] = p(n - 1).Let K = ∑j=1^n kj be the sum of all node d