A computational chemist at Washington State University has adapted Google's seminal search algorithm, PageRank, so that instead of mapping trillions of web pages it maps out the shapes and ...

Google’s PageRank algorithm was developed in 1998. But a project to trace the history of such algorithms reveals an example from the 1940s.

Using PageRank to assess scientific importance Scientists use a modification of Google's PageRank algorithm to assess the … ...

Harmonic Centrality is the distance-based centrality measure, unlike PageRank. In the PageRank algorithm, the importance of a node is given by the importance of the neighborhood but not the distance.

One familiar algorithm for this is Google's PageRank, which is (obviously) computationally expensive; it is impossible with current technology to extend it to the whole Web.

Researchers at Washington State University and the University of Arizona have shown that Google's famous PageRank algorithm applies to more than just webpages. It also works with water molecules ...

Google PageRank algorithm used in tool to model interactions between molecules Associate chemistry professor Aurora Clark of Washington State University and colleagues Barbara Logan Mooney and L ...

The researchers could then load the many real-life cancer trajectories into “an algorithm similar to Google PageRank … to gain important insights about the spread patterns of lung cancer ...