On Random Walk Based Graph Sampling

‏‏‎ ‎ 2020 Rong-Hua LiJeffrey Xu YuLu QinRui MaoTan Ji

Random walk based graph sampling has been recognized as a fundamental technique to collect uniform node samples from a large graph. In this paper, we first present a comprehensive analysis of the drawbacks of three widely-used random walk based graph sampling algorithms, called re-weighted random walk (RW) algorithm, Metropolis-Hastings random walk (MH) algorithm and maximum-degree random walk (MD) algorithm... (read more)

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