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Computational tools for spectral analysis of large stochastic networks representing energy landscapes of atomic and molecular clusters are proposed:(i)an efficient algorithm for computing zero-temperature asymptotics for eigenvalues and eigenvectors of the generator matrices,and(ii)a continuation technique for computing selected eigenpairs of interest at finite temperatures and corresponding eigencurrents.