In 1998, two graduate students at Stanford University, Larry Page and Sergey Brin, developed "Backrub", a search engine that relied on a mathematical algorithm to rate the prominence of web pages. The number calculated by the algorithm, PageRank, is a function of the quantity and strength of inbound links. PageRank estimates the likelihood that a given page will be reached by a web user who randomly surfs the web, and follows links from one page to another. In effect, this means that some links are stronger than others, as a higher PageRank page is more likely to be reached by the random web surfer.
Excellent post Brian. I think the point about writing content that appeals to influencers in spot on. Could you recommend some good, manual strategies through which I can spot influencers in boring niches *B2B* where influencers are not really talking much online? Is it a good idea to rely on newspaper articles to a feel for what a particular industry is talking about? Would love to hear your thoughts on that.