The topic-specific preference value P t (w) for each word w is its random jumping probability with the constraint that w∈V P t (w) = 1 given topic t. A large R t (•) indicates a word is a good candidate keyword in topic t. We denote this original version of the Topical PageRank as TPR.
the original TPR ignores the topic context when setting the edge weights; the edge weight is set by counting the number of co-occurrences of the two words within a certain window size.