Edge. Rank. Alert! Anyone who says they can measure your Edge. 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. One thing that I've noticed when I talk to friends that initially start using Facebook is that "nobody comments on my wall." Sometimes, I'll even try to help them out. Facebook is an American for-profit corporation and an online social media and social networking service based in Menlo Park, California. The Facebook website was. 793 thoughts on “Who Does Facebook Think You Are Searching For?”. I do not want to hide all of my status updates, only friending options. I work on fan pages, & in order to @message (or mention) other fan pages, I have to become a fan. New messages from people on your Friends list will show up as alerts in Facebook Messenger. But sometimes people who aren't on your Friends list will send you messages. Rank score is lying to you. It is completely impossible because no general Edge. Rank score exists. Note: I'm often asked to explain Edge. Rank, so I wrote up this short guide. Ever noticed those "Like this in 5 seconds if you hate cancer, ignore if you don't " posts lately on Facebook? This is why they exist and how to avoid them. The like button, first enabled on February 9, 2009, enables users to easily interact with status updates, comments, photos, links shared by friends, and advertisements. Create an account or log into Facebook. Connect with friends, family and other people you know. Share photos and videos, send messages and get updates. Top Facebook Updates That You Can’t Afford to Miss – June 2017 Edition. In this June 2017, Facebook introduced some new ad formats, ramped up its battle against. 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 . 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 . 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 ? Let's show it at the top of the user's newsfeed. Which one has the next highest score? Let's show it next. The Edge. Rank 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 Tech. Crunch 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 2. 00. 7, a Facebook engineer said in an interview that only about 0. That means that your status update is competing with 4. How does Edge. Rank work? Edge. Rank 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 2. 01. F8 conference, they revealed the three ingredients of the algorithm. Affinity Score. Edge Weight. Time Decay. Affinity Score. Affinity Score means how . 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 . 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 Edge. Rank Score? Anyone who claims to check your Edge. Rank is lying to you. It is completely impossible. You can measure the effects of Edge. Rank by seeing how many people you reached. You can also measure how much engagement you got (which impacts Edge. Rank) using a Facebook analytics tool. But there is no . 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 Edge. Rank score of the page, I only care about the Edge. Rank score of the status update (which is affected by the Edge. Rank score of the page). There will never be a 3rd- party tool that can measure Edge. Rank. 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 Edge. Rank? 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. Our latest Christmas special is X. We just announed a new brand of toothpaste. Watch this video of our CEO shaking hands with Obama. Who Does Facebook Think You Are Searching For? I have made an update to fix the bookmarklet for those with Facebook Graph Search. You can get the new bookmarklet here Updated Facebook Friends Ranking Bookmarklet to Work with Graph Search==========================================UPDATE February 1. Many people have noted that Facebook has changed stuff in the last several months and so the bookmarklet broke. I have updated it to work on the new filename Facebook is using, and also to match the protocol you are browsing on. Drag this link to your bookmarks bar and click it when you are on Facebook. You may have to click it twice to work. Facebook Friends Rankings==========================================Have you ever wondered how Facebook orders your search results? Clearly they have some ordering about who they think you are looking for, and they seem to guess pretty well. I can only guess, but it seems like they order it based on who you interact with, whose profile you look at and who you have recently become friends with. Well Facebook gives explicit numbers to the directed edges (connection going from you to your friend), about how much they think you are looking for this person. I wrote a bookmarklet that makes it easy to see this list. Although you already know who you look at most, it is eerie to see the list they have come up with—and the numbers they give. The more negative the number, the more Facebook thinks you are looking for them. To try it out, just drag the image here up to your browser’s bookmark bar. Then go to Facebook and click the bookmarklet. More explanation below. Note: This is really interesting, but may be embarrassing to you. Try dragging this link if the image doesn’t work for you. Facebook Friends. Tested on Chrome, Firefox, and Safari. If bookmarklet does not work on chrome, just try creating a new bookmark with the javascript as the url.(Note: If you have https on, it won’t work. You can disable it temporarily by going to Account Settings/Security/Secure Browsing.)How We Discovered this Link. We were working on our autocomplete search for the website we are building this summer called raunk. If we typed fast, we could type faster than the results would show up. I thought, “Maybe I just type really fast, faster than the results can load.” We then checked Facebook. If we typed faster than Facebook autocomplete then it had to be okay. Well we started typing, and no matter how fast we typed, they already had results showing up. How did they do this? Were their servers just that much faster than ours? If you open up the Network panel in the Chrome Inspector or Firebug, you can see this file being requested asynchronously. Select XHR to only see AJAX requests. Well in this file there is a lot of great information. It’s just JSON. There are probably two files, one which loads your first degree friends, and one which loads your “first degree” pages and events. Well if you open up the JSON file you will see, an ordered list of who Facebook thinks you are looking for. Basically, you will find a list which is mostly who Facebook thinks you are Facebook stalking. And if you expand the entry you will see a field called . The lower the number the earlier they show up on your search results. And this stuff is all client- side, so it is all visible to you, and most likely will be for quite some time. This list is surprisingly interesting to check every now and then, and it will make you wonder how their algorithm is working and how those people go there. Other Interesting Parts of this File. If you look a little more at this file you will find lots of other interesting information. There is an optional field that shows up in some results called . For example, I have a friend named Michael, and his tokens says . My brothers is named Zach, but his tokens says . Under Daniel it has . So look through the tokens, and find a friend who has a token that is not all close to his or her name. If you search it, you’ll notice that your friend will come up. That’s how it works. These are just common aliases for the name–not ones specific to your friend. How the Bookmarlet Works. Here is how the bookmarklet works: It creates a script element on the page, gets a javascript file from my blog, and this file makes a request to the file first! I really appreciate and am glad you found the bookmarklet interesting and entertaining. If you’d like to contact me about the bookmarklet or about our website raunk.
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