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Scalable Methods and Algorithms for Very Large Graphs Based on Sampling

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Figure

FIGURE 1.2: Examples of sampling methods.
FIGURE 1.5: The Confidence Interval problem of existing methods to estimate ∆.The properties of the input graph need to be used to construct the confidence intervalusing (ϵ, σ)-approximation and the variance.
FIGURE 1.7: Overview of our contributions to estimate ∆. The estimator of varianceused to construct confidence interval.
TABLE 2.2: Properties of the networks in our experiments, sorted by graph size N.
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