Finally Facebook explained its “Facebook Algorithm” in detail focusing the discussion on what they termed as “Edgerank”. Unlike the search engine giant Google’s algorithm for ranking search results, Facebook’s Edgerank algorithm breaks every piece of content to an object and every interaction with the said content is an “edge” and hence the term “edgerank”.
Facebook has a secret formula to calculate the reach of your content to its audience. The process may sound complicated at the first instance but if given a second thought it’s actually quite logical. Facebook simply gives more weightage to content with more interaction. For example, the more “LIKES” a post receives, the more people interacting with it and the more private interaction resulting from it has more weightage and probability of displaying on user’s page increases. We might not be realizing the fact that Facebook’s News feed only displays a subset of the posts having higher Edgerank generated by our friends which gave birth to the concept of “News Feed Optimization” and it’s success is determined by Edgerank. It would be overwhelming if the news feed showed all the possible stories from your friends. By optimizing for EdgeRank you will always have the chance to increase the effectiveness of your Facebook posts, yielding better returns in the long run. [Read more...]