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 ...

Gupta chisels away at the PageRank algorithm simply by looking at what the No. 1 ranked sites are doing. “We have identified 250 parameters that Google studies to rank a site,” he says.

Personalized PageRank (PPR) algorithms have emerged as a cornerstone methodology in analysing and utilising the inherent structure of large-scale networks. By refining the classic PageRank concept ...

Just as Silicon Valley insiders are calling for a qualified scuttling of Google’s PageRank algorithm in sussing out Web page relevance, U.K. researchers are turning to Google’s golden formula ...

The research is based on Google’s PageRank algorithm, which ranks web pages based on their connectivity and influence within a network. The PNNL team adapted this approach to analyze infrastructure ...

This study presents a framework using natural language processing and knowledge graphs to recommend construction safety guidelines. The PageRank algorithm and Louvain clustering were applied to ...