Facebook algorithms are so powerful they can suggest you friends you've been looking for a long time and who you have not known for a long time. Do not you know how they work? We explain this to you.
Facebook is one of those giants that has grown so exponentially that we do not realize how much it influences our decisions. The false news is a clear example of the power of this network, but today I will stick with another of the keys that made Facebook Facebook: the suggestion of friends .
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Although we connect permanently to the world, the smartphone makes us even more informed. More information does not mean better information.
The same thing happened to all of us: opening the application or the web and finding the message on the wall of " Maybe you know these people ". This is the suggestion of friends, an extremely complex algorithm with which the social network combines contacts with their affinity, kinship or coincidence in time. Sometimes pairings are clear, like our high school classmates, but they usually suggest contacts that we think: "But how do you know this person?" .
Today we will enter dissecting the suggestion of Facebook friends . I have already advanced that, in order to know in depth, the operation of this algorithm is impossible: this knowledge is only in the hands of the engineers. But we can understand his way of acting through the experience at hand and the contrasted facts. So how does Facebook's suggestion work?
Large-scale data crossing in search of correspondence between contacts
The basic operation of the Facebook algorithm is as logical as possible: the social network tries to find patterns of correspondence between contacts . This is why I encourage you to fill out your profile to the max: the more data you have from users, the easier it will be to find matches to match potential friends.
The more complete your profile, the better Facebook contacts will suggest
It stands to reason that if we complete our studies with a specific date and institute, we suggest as friends other contacts who filled this information in an identical way. This is how crossed to study or work colleagues for example. It seems simple but it is not: the amount of data processed by Facebook is so great that making the pairings on such a large scale implies a huge investment in servers and code maintenance. It's called Big Data .
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As a social network that is, we rely on it lots of personal information . The studies, the work, where we were born, our age … or the couple, for example. If we tell Facebook that we are married to someone, he will certainly suggest us as friends the other person's relatives. Not in vain, we give you the genealogical links, as we can divide the contacts into friends and relatives.
The social network is configured to capture the maximum number of personal data possible
So far, it's simple, more or less: billions of cross-data on Facebook servers that are and compare to find matches and so assign them as a friend's suggestion . In this way, it is not strange that we see in our walls old friends, companions of the first work that we had or, more controversially, also our first loves.
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The reason for this is the sale of advertising. Post an ad on Facebook or Instagram gives you all this knowledge: you can target the ad with as specific details as whether users enjoy gifts or are included among an exact population type. So, if you know all this for ads, imagine what you might know to relate to users: The stronger the network of friends becomes, the more service becomes .
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