Comments

• • Sasa Danilovic@sasada1

  

  Sasa Danilovic May 13, 2013 - 11:39am

  Really nice article and clearly described, the concept of this algorithm looks far better than the one used by leading online companies, such as Google, Yahoo and MS. However if I understood the algorithm correctly, the large companies will be able to practically own that space by simply introducing online prize draws (or some other, similar content of material interest) and collect a very high number of likes and fans, thus launching themselves high up on the list. I do not see this being very useful for small businesses and they will stand no chance of appearing, but this is my (un)educated guess. This is how I see it (for wealthy company X):

  
  At least medium affinity level will be achieved through dispersing the news of the e.g. prize draw, giveaway, contest, etc., which is going to be viewed by many people as most always desire to win something. If companies go on to make small daily or hourly draws, the visit to their page will be increased and the friends of the people who participated will have an increased chance of getting that in the news feed. A prefect mechanism!

  Weight is easy to derive from the large number of visits to the hosting page.

  Time-decay will be practically non-existing as the results keep refreshing frequently.

  All of this will create a solid base for future advertizing through the news feed as the credibility is already established; On the other hand, the small and medium businesses will be suffocated and marginalized due to the financial discrepancy in terms of lack of sufficient funding to advertise in a similar manner. I understand the financial gain is the leading motif for social networks nowadays, but I am also noticing the increasing shift from the "social" towards "economical", without giving a fair chance to a quality product or service, which once was a case.

  Thoughts?

• • James Ronholm@jamesro41

  

  James Ronholm May 13, 2013 - 2:04pm

  Besides the initial weight (content derived) - the "extra weight" comes from interactions with mutual friends (and yourself) - it isn't based on total visits. So, your choice of friends (and the activities they engage in) will affect which posts you see (in the context of this infographic the goal is marketing, but it would affect all posts by everyone) - but not so much the visits from total strangers (but I'd be surprised if that is the complete algorithm).

  I think Time-Decay is based on the date of the posting - not on the date of interactions/comments to the posting - which is why the advice to marketers is post often, and do something that invites interaction (like ask a question).

  However, your main point seems to be around the economics of the platforms. Many seem to insist that the Internet be free (as in free beer) but reality requires the services to generate revenue. We can lament that we become marketing targets in this context, but even if we (some few individuals) are willing to explicitly pay for services the environment needs a larger number. There are very few "for-pay" services left.

• • Sasa Danilovic@sasada1

  

  Sasa Danilovic May 13, 2013 - 6:58pm

  Hi James,

  
  Thank you for the insightful comment, which pretty much is line with what I said (obviously no so clear). The weight I was referring to, and as you confirmed, is achieved through my friend's activities; My point here is that many of my friends will engage into tempting offers, hence push them to me (a simplified example). I did not account for the strangers at all.

  Time-decay will be achieved through continuous updates of the "game" status(es), not the comments, something like refreshing the whole news (at least this is how I see this possibility open to use), thus in a sense creating a new one.

  As for the "free Internet", I am aware that not all services can be free (and should not be), especially with emerging cloud technologies, but I was referring to achieving an Utopian equalization through real quality versus financial power. I believe that social networks can alleviate this existing dark cloud already spanning across all major media. My fear is that the potential Facebook "news feed" will not reflect some small and medium businesses delivering quality products/services, but those who can invest significant financial resources.

  Once again, I appreciate the chance to explain my thoughts better!
  
  

  Cheers,

  Sasha

• • Ibrahim Adewole@ibrahimad

  

  Ibrahim Adewole May 13, 2013 - 11:10pm

  Facebook EdgeRank from what I can read and see here looks to me as a cool idea that help attract users to Facebook, the algorithms use here tends to save a typical user time and hide unimportant stories and discussions from user’s newsfeed. This algorithm will help filter only relevant stories user wants to see in their newsfeed rather than having lots of newsfeeds that are outdated, uneventful and boring to them. This is a remarkable achievement in social networking as this helps decide what content appears in newsfeed for the user, making social networking a refreshing experience rather than getting bored with old stories that are uneventful. You can now follow content from most companies that deal with your favorite brand or stock market situation as it happens. Get the latest and important news about your favorite brand of products. These are all good news to Facebook users.

  The three EdgeRank algorithms use which includes affinity, weight and time decay help user determine what they see from newsfeed. Affinity helps with the frequency of your writing on someone’s Facebook wall and other explicit actions such as clicking, liking, commenting, tagging, sharing and friending to determine the newsfeed that user will see. Affinity will measure actions of both sender and the receiver of the feeds. As for your favorite brand, the downside is that the companies are not able to check their Edgerank score or position, this may not encourage some of these companies to advertise their product on Facebook, because they are not getting feedback about how they are doing with users or customers.

  From statistic, users spent so much time looking for latest information on Facebook about their favorite brands or particular newsfeed, but with Edgerank weight, it helps reflect on the type of stories they think user will find most engaging. This ranks comments and sharing higher than “likes” since this requires more actions on the user’s part. This helps filter boring stories and encourage patronage.

  The time decay help maintain the freshness of the newsfeed you get, but you may still get old and boring news if you do not logon to your Facebook page account regularly, just like me(smile…). The time decay factor measures the age of your content.

  With Edgerank factors in place, as an organization that is ready and willing to embrace this new idea, the important point is that your content has to lead your audience to a purchase point if you want to drive your sales as a company; otherwise your goal of driving up sales using Facebook might be far from reality. Developing leads and prospect for your product, you need a strong call-to-action to persuade people and get them to register or download some content that can give you that edge over your adversaries. With this in mind, your shareholder will be happy with your strategy and you can use this medium to improve your organization earnings. I think organization can take advantage of this social networking idea to promote their product and get more users to get the latest products.

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