This algorithm are inspired by a technique for personalized PageRank computing [14, 2, 3], though heavily adapted to the Katz score. We evaluate these methods ...

For the pairwise problem, we apply an iterative algorithm that computes upper and lower bounds for the measures we seek. This algorithm exploits a relationship ...

Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has.

Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted ...

Sep 1, 2010 · Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been ...

Bibliographic details on Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks.

Dec 16, 2010 · The document describes efficient algorithms for computing Katz scores and commute times between pairs of nodes in a graph.

Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks. P. Esfandiar, F. Bonchi, D. Gleich, C. Greif, L. Lakshmanan, and B ...

Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks. Submitted for publication. These codes are research prototypes and ...

Social relatedness measures such as the Katz score and the commute time between pairs of nodes have been subject of significant research effort motivated by ...