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Graph Sampling Strategies #3

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@tanmoyio

What is sampling, why do we need different sampling strategies, some examples

Algorithms we should cover with source code-

  1. Uniform Random Sampling
  2. Snowball Sampling
  3. Forest Fire Sampling
  4. NodeRank Sampling
  5. Degree-Based Sampling
  6. Stratified Sampling
  7. Metropolis-Hastings Sampling
  8. Subgraph Sampling
  9. Min-cut Sampling
    More ??

Strengths and weaknesses of these algorithms, computational complexity, how to find well suited sampling strategy depending on the graph and its characteristics.

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