On improving Search Result Authoritativeness with an Enhanced Trust Rank Algorithm

In a network of pages (the web), outbound and inbound links are the only connecting flow making the vertexes; while the pages represent the edges as is found on directed graphs. The ranking of a page is dependent on its content and the number of inbound links which are recommendations to the page. Contrary, an outbound link demotes the page. If the Home page (target page) is "good", then there is a flow of Page Rank booster out of it. In this work, we introduced the TrustRank (TrustRank = M-1 * X) method to become the start process of the Page Rank method (M * PageRank = ( 1 d )), since the basic idea is, taking the link structure to generate a measure for the quality of a page by the selection of good (trusted) pages for a start (by hand). These pages are the sources of trust. Trust can be transferred to other page by linking to them. Trust is propagated in the same way as PageRank from thence. Ranked result from this point would be better than those not guided by the "trusted selections".