Here we're going to learn about the
CheiRank
"The CheiRank is an eigenvector with a maximal real eigenvalue of the Google matrix G * constructed for a directed network with the inverted directions of links. It is similar to the PageRank vector, which ranks the network nodes in average proportionally to a number of incoming links being the maximal eigenvector of the Google matrix G with a given initial direction of links. Due to inversion of link directions the CheiRank ranks the network nodes in average proportionally to a number of outgoing links. Since each node belongs both to CheiRank and PageRank vectors the ranking of information flow on a directed network becomes two-dimensional." (From Wikipedia)
More about CheiRank's
definition,
images and
examples you can find following this link:
http://en.wikipedia.org/wiki/CheiRank