Neighborhood Sampling for Estimating Local Properties on a Graph Stream

  • Srikanta Tirthapura | Iowa State University

We consider the estimation of local graph properties, which concern subgraphs that lie within the neighborhood of a vertex, such as counting the number of cliques with a certain number of vertices. We present a new algorithm for sampling the edges of the graph, called “neighborhood sampling”, which works in a single pass through the edges of the graph, presented in an arbitrary order. The algorithm is practical and easy to implement.

    • Portrait of Jeff Running

      Jeff Running

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