Thus, it may be the case that centrality scores induced over a document-based graph are more effective as a multiplicative bias on query-likelihood than as direct representations of relevance in Dinit (see also<cite> [18]</cite> ); but, modulo the caveat above, it seems that when centrality is induced over cluster-based one-way bipartite graphs, the correlation with relevance is much stronger, and hence this kind of centrality serves as a better "bias" on query-likelihood.