Scala and Spark for Big Data Analytics

PageRank

PageRank is one of the most important algorithms in the graph processing space. Originating at Google, the algorithm named after Larry page, the founder of Google, has evolved into many types of use cases based on the concept of ranking vertices or nodes based on relationships or edges.

Google PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites. For more information, you can read the description at https://en.wikipedia.org/wiki/PageRank

Using Google PageRank as an example, you can improve the relative importance of a web page on your company ...