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Alert! Anyone who says they can measure your EdgeRank score is lying to you. It is completely impossible because no general EdgeRank score exists.

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Changing image size. To scale an image: From the Document menu, select Resize Document. Ensure the Resample option is switched off. Change the DPI to control the number of pixels (dots) which will be printed per inch when your document is printed. Set higher values (e.g., 300dpi) for professional printing. Affinity Photo is fast becoming one of the world’s most popular photo-editing applications. Offering a well-rounded alternative to the historic industry leaders, such as Adobe’s Photoshop; many creative professionals & hobbyists have now made the switch to Serif’s multi-platform photo-editor.

Note: I'm often asked to explain EdgeRank, so I wrote up this short guide.
- Jeff

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Table of Contents

What is EdgeRank?

EdgeRank is the Facebook algorithm that decides which stories appear in each user's newsfeed. The algorithm hides boring stories, so if your story doesn't score well, no one will see it.

The first thing someone sees when they log into Facebook is the newsfeed. This is a summary of what's been happening recently among their friends on Facebook.

Every action their friends take is a potential newsfeed story. Facebook calls these actions 'Edges.' That means whenever a friend posts a status update, comments on another status update, tags a photo, joins a fan page, or RSVP's to an event it generates an 'Edge,' and a story about that Edge might show up in the user's personal newsfeed.

It'd be completely overwhelming if the newsfeed showed all of the possible stories from your friends. So Facebook created an algorithm to predict how interesting each story will be to each user. Facebook calls this algorithm 'EdgeRank' because it ranks the edges. Then they filter each user's newsfeed to only show the top-ranked stories for that particular user.

Why should I care?

Because most of your Facebook fans never see your status updates.

Facebook looks at all possible stories and says 'Which story has the highest EdgeRank score? Let's show it at the top of the user's newsfeed. Which one has the next highest score? Let's show it next.' If EdgeRank predicts a particular user will find your status update boring, then your status update will never even be shown to that particular user.

Caveat: There actually appears to be two algorithms, although this has not been conclusively proven. The EdgeRank algorithm ranks stories, and a second algorithm sorts the newsfeed. This newsfeed algorithm includes a randomization element and a keyword aggregator. Zuckerberg mentioned in an interview with TechCrunch that Facebook users found it eery how well Facebook knew what they were interested in, so they started randomizing the newsfeed slightly.

The numbers on this are frightening. In 2007, a Facebook engineer said in an interview that only about 0.2% of eligible stories make it into a user's newsfeed. That means that your status update is competing with 499 other stories for a single slot in a user's newsfeed.

How does EdgeRank work?

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.

At Facebook's 2010 F8 conference, they revealed the three ingredients of the algorithm:

1. Affinity Score
2. Edge Weight
3. Time Decay

Affinity Score

Affinity Score means how 'connected' a particular user is to the Edge. For example, I'm friends with my brother on Facebook. In addition, I write frequently on his wall, and we have fifty mutual friends. I have a very high affinity score with my brother, so Facebook knows I'll probably want to see his status updates.

Facebook calculates affinity score by looking at explicit actions that users take, and factoring in 1) the strength of the action, 2) how close the person who took the action was to you, and 3) how long ago they took the action.

Explicit actions include clicking, liking, commenting, tagging, sharing, and friending. Each of these interactions has a different weight that reflects the effort required for the action--more effort from the user demonstrates more interest in the content. Commenting on something is worth more than merely liking it, which is worth more than merely clicking on it. Passively viewing a status update in your newsfeed does not count toward affinity score unless you interact with it.

Affinity score measures not only my actions, but also my friends' actions, and their friends' actions. For example, if I commented on a fan page, it's worth more than if my friend commented, which is worth more than if a friend of a friend commented. Not all friends' actions are treated equally. If I click on someone's status updates and write on their wall regularly, that person's actions influence my affinity score significantly more than another friend who I tend to ignore.

Lastly, if I used to interact with someone a lot, but less so now, then their influence will start to wane. Technically, Facebook is just multiplying each action by 1/x, where x is the time since the action happened.

Affinity score is one-way. My brother has a different affinity score to me than I have to him. If I write on my brother's wall, Facebook knows I care about my brother, but doesn't know if my brother cares about me.

This may sound confusing, but it's mostly common sense.

Edge Weight

Each category of edges has a different default weight. In plain English, this means that comments are worth more than likes.

Every action that a user takes creates an edge, and each of those edges, except for clicks, creates a potential story. By default, you are more likely to see a story in your newsfeed about me commenting on a fan page than a story about me liking a fan page.

Facebook changes the edge weights to reflect which type of stories they think user will find most engaging. For example, photos and videos have a higher weight than links. Conceivably, this could be adjusted on a per-user level--if Sam tends to comment on photos, and Michelle comments on links, then Sam will have a higher Edge weight for photos and Michelle will have a higher Edge weight for links. It's not clear if Facebook does this or not.

As a sidenote, Facebook may actually rank the act of commenting, liking, visiting a fan page, or even fanning a page differently depending on the source. For example, becoming a fan via an ad may have a lower Edge score than becoming a fan by searching for the fan page and then becoming a fan. This makes intuitive sense--the one user is hunting for the page and generally will care more about page stories than someone who had an ad thrust in their face. There is no conclusive proof of this though.

New Facebook features generally have a high Edge weight in order to promote the feature to users. For example, when Facebook Places rolled out, check-ins had a very high default weight for a few months and your newsfeed was probably inundated with stories like 'John checked into Old Navy.' Generally, after a few weeks or months Facebook dials the new feature back to a more reasonable weight.

Time Decay

As a story gets older, it loses points because it's 'old news.'

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EdgeRank is a running score--not a one-time score. When a user logs into Facebook, their newsfeed is populated with edges that have the highest score at that very moment in time. Your status update will only hit the newsfeed if it has a higher score--at that moment in time--than the other possible newsfeed stories.

Facebook is just multiplying the story by 1/x, where x is the time since the action happened. This may be a linear decay function, or it may be exponential--it's not clear.

Additionally, Facebook seems to be adjusting this time-decay factor based on 1) how long since the user last logged into Facebook, and 2) how frequently the user logs into Facebook. It's not clear how exactly this works, but my experiments have shown time-decay changes if I log into Facebook more.

How do I check my EdgeRank Score?

Anyone who claims to check your EdgeRank is lying to you. It is completely impossible.

You can measure the effects of EdgeRank by seeing how many people you reached. You can also measure how much engagement you got (which impacts EdgeRank) using a Facebook analytics tool.

But there is no 'general EdgeRank score' because each fan has a different affinity score with the page. Leechblock firefox.

Furthermore, Facebook keeps the algorithm a secret, and they're constantly tweaking it. So the value of comments compared to likes is constantly changing.

Lastly, fan pages never appear in the newsfeed--stories by/about the pages show up. So I really don't care about the EdgeRank score of the page, I only care about the EdgeRank score of the status update (which is affected by the EdgeRank score of the page).

There will never be a 3rd-party tool that can measure EdgeRank. Too much data is private--eg, if a fan leaves a comment on my page's status update, I can't know how tightly he's connected to the other fans--and the more tightly he's connected, the more his comment impacts the Affinity Score of the status update for the other fans.

How can I optimize my fan page for EdgeRank?

It's hard to trick an algorithm into thinking that your content is interesting. It's much easier to rewrite your content so your fans leave more likes and comments.

Take your stodgy press releases, and turn them into questions that compel your fans to engage.

Here's some examples:

• 'Click 'like' if you're excited that we just released our iPad app.'
• 'Fill-in-the-blank: All I want for Christmas is ___. Our latest Christmas special is X.'
• 'Yes/No: I brushed my teeth last night. We just announed a new brand of toothpaste.'
• 'On a scale of 1-10, I think Obama is a great president. Watch this video of our CEO shaking hands with Obama.'

All those likes and comments will increase the Affinity Score between each fan and your page, boosting how many fans see your status updates in their newsfeed.

Send comments or suggestions to jeff@edgerank.net.

Gradient Overlays for Great Looking Photographs (with Affinity)

Highlight mood and artistic creativity with simple gradients overlays

By Martin KP in Articles and Tips on Jul 11, 2019

In this tutorial I will show you how to enhance black and white photographs using gradient overlays. I will demonstrate this technique to enhance a portrait using Affinity Photo, but of course the technique can be applied in other mainstream photo editing programs.

Digital post processing offers the photographer a selection of tools to help with creating a pictorial mood. Subtle tonal changes can elevate, heighten or lessen photographic elements to help the viewers eye toward an artistic expression whilst remaining hidden within the photographic structure. Indeed, a graduating tonal shift using a vignette tool when used properly is a good way to enhance your post processing creativity, yet, over use of this tool can lead to mundane predictability across the tonal space in a series of pictures and the tool itself negates your own artistic expression. There is another way to create the same mood effect of a vignette whilst remaining creative to a mood within the frame. This can be done by employing the gradient fill tool.

Original image

All good photo editing programs will have a gradient tool. Tones, colors or tints can be altered to serve the intended mood of a photograph. The easiest scale to use is a gray scale but this technique also works well for color scale. Sometimes a color photograph only needs a hint of gray scale but I find I employ gradients to black and white images. Sometimes the same gradient can be used across a picture series. Bare in mind, gradients suffer from the same transgressions as vignettes, their over use can muddy a picture instead of providing a subtle mood change and artistic expression. When carefully considered and combined with selective curves the creative elements fuse to an interesting result. The key here is to experiment and I will show you how to do just that.

Start by opening Affinity, and create a new file. An A5 canvas is fine. Find your gradient tool and make the above image. This can be done in affinity by first creating a square box then dragging the gradient into to the square from one corner to the other. Notice how you can move each node around the image plane. This feature is used to create the look you are going for as we will see later. Up in the top left you will see the gradient tool context (it appears automatically when selecting the gradient tool).

Click on the gradient preview icon (red) and the gradient tool properties panel appears below. The two nodes shown here correspond with the nodes in the image plane. You can click these and alter the node colors (blue) with a further scaling bar (green) which moves the scale center point. Play around with these settings so you are familiar with what they do. You can create interesting scales with this tool which will transcribe into the finished image, and, because this is a non-destructive editor, it is possible to go back to this tool to make finer adjustments later. Once happy it's a good idea to make a save of the file.

Now find your layers tab. If it isn’t visible, activate through View>Studio>Layers. Give your gradient a memorable name so you can find it again latter. On complicated edits with multiple layers I find the right layer easily if given descriptive names beforehand. Now lets add an image using File>Place, select a file and draw it into the frame. Anywhere will do. It can be altered later. You can see affinity has placed the new image on top of the gradient. We want the gradient on top of the image so drag the layer containing the scale so it sits above. The image will disappear behind the gradient. Now change the layer blend mode from normal to overlay and the image reappears with the grey scale blend.

Two things to note with this overlay. The whites are far too light, and the blacks are deep. What is more, there appears a lack of contrast in the mid tones, it all looks a little muddy. We could change the opacity in the layer but this will alter the whole image. We want to change the opacity in the whites only and leave the black in overlay. Revert the layer blend mode back to normal and reopen the fill gradient tool shown earlier. If it isn’t visible, double click the gradient in the layers panel. Select the white node (in blue circle) and decrease the opacity to 0%. Now return the layer blend mode back to overlay. The white is unaffected where the blacks retain their gradient scale giving a natural blend across the image plane. The creative process in placing the gradient can now investigated to find the right combination for a pleasing look. Start by selecting the greyscale layer in the layers panel and clicking on the gradient tool leftmost tool panel. Your gradient nodes will appear in the picture plane. Move this around now and try different looks. You can also go back to the gradient preview icon and change the settings here too, affinity will show the results as you move or change settings. When happy with the result save your file then go to Document>Flatten and your new edited image is done.

Final image

Gradients work well in black and white, but you can also use color instead. The key here is to experiment with the gradient tools to find something new and appealing. You can even make your own vignette with multiple gradients stacked, however, I find the simplest solution is often times the best solution. There you have it. An image with subtle mood tones placed to work with the image and the viewer for a pleasing outcome.

About Affinity Photo

Affinity photo by Serif is a non-destructive photo/image editor. In some ways Affinity is like Photoshop and in many other ways it is very different. All photo editing tools are available from a tool bar and menu and there is also a properties/layer window.

Affinity has a very powerful processing engine. It is a color-aware program with unique channel editing features. It works well with a graphics tablet if you have one and uses mulicore processors as well as a full export utility including JPG, PNG TIFF, PDF, and so on. Its import/export functionality is well thought out and I find extremly useful.

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For more information, visit the affinity website at: https://affinity.serif.com/en-gb/

Happy editing!

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