Infographic: Facebook Edgerank Algorithm explained

Did you know, that only 40% of the time people spend on Facebook is directed at the Newsfeed, whereas only 12% this spent on brand pages and main profiles? The algorithm that makes this possible was known as “EdgeRank”. Edgerank was the name given to Facebook’s news feed algorithm a couple of years ago, and many SEO and web specialists still refer to it as as EdgeRank in the present.  Confused? While the name has been officially declared redundant by Facebook, the algorithm has been vastly improved, and the underlying framework is still present.

Wikipedia says, According to MarketingLand, Facebook stopped referring to its feed prioritisation algorithm as EdgeRank internally in 2010/2011, and so the term may be considered obsolete now – other than as a useful shorthand for “Facebook’s feed prioritisation algorithm”. According to edgerank.net, EDGERANK is like a credit rating it’s invisible, it’s important, it’s unique to each user, and no one other than Facebook knows knows exactly how it works.

Edge rank in the old days consisted of three main parts, two of them were actually relevant for marketers. The three main parts to EdgeRank were called affinity, weight and time decay. These three factors now comprise approximately 0.00003% of the total factors that Facebook actually considers. The social network has since replaced this with a more machine learning-based approach which takes into account approximately 100,000 factors.

Facebook recently held a small workshop to explain their latest changes to the news feed.  Here are a few important key takeaways:

  • There is still an algorithm determining the news feed
  • New Story Bumping Signal
  • New Last Actor Signal
  • Future New Chronological by Actor Signal
  • There will not be a purely chronological change

It’s obvious that Facebook has been improving its news feed algorithm over the last couple of years, while ‘Edgerank’ as it used to be known has changed and is actually referred to as the machine learning base algorithm, maybe it’s just easier to keep referring to it as Edgerank, until Facebook comes up with a better name. The fact that the new algorithm is extremely complicated will only present challenges for Facebook page owners and brands. There is no magic formula, publishers need to understand their audience and their fans and create engaging content that shareable.

postrocket-facebook-edgerank-infographicImage credit via Findability and Postrocket

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