It would be great if you could bias the random jump vector for the PageRank algorithm. This modification is called "personalization". By providing non-uniform jump probabilities you selectively downplay or raise the importance of certain nodes. In natural language processing, where I work, this trick has quite a few applications.
For reference, the parameterization is implemented in NetworkX