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Random graphs are a fascinating subject of applied and theoretical research. These can be generated with a fixed vertex set V and edges added to the edge set E based on some probability model, such as a coin flip. Speculate on how many connected components a random graph might have if the likelihood of an edge (v1, v2) being in the set E is 50%. Do you think the number of components would depend on the size of the vertex set V? Explain why or why not.
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