An overlapping network community partition algorithm based on semi-supervised matrix factorization and random walk.

•We combine the prior content information in the network to construct a must-link matrix and a cannot-link matrix.•We propose an algorithm based on semi-supervised matrix factorization and random walk.•The random walk model based on node convergence degree is combined with nonnegative matrix factorization.