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Efficient Approximation of Kemeny’s Constant for Large Graphs

Summary: Scalable approximation of Kemeny’s constant for massive graphs via two Monte Carlo methods. RefinedMC trims redundant truncated random walks; ForestMC leverages a Laplacian-submatrix / forest-based identity for higher-accuracy estimation, avoiding explicit matrix inversion. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
6899
Venue
SIGMOD
Year
2024
Pagerank
4.1945683e-05
Overall Rank
10,958 | 23.77%
DOI
10.1145/3654937

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