This type of relationship is difficult to appear in resumes, archives, and legal records, and the proportion of this part of relationship is still very high, so you also need to find a suitable data source.

According to statistics, a person can know about 4,000 people in his life. This understanding usually means that you can remember his appearance, know his name, talk to him, and your relationship is mutual, and he also knows you.

These 4,000 people appear in all stages of your life, and they are usually classmates, neighbors, and colleagues at all stages of your life.

These people basically only appear at a certain stage in your life, and then as you age, they will be gradually forgotten.

If you are a person in your 20s, you shouldn't remember the names of several elementary school classmates now, and it will take you a long time to recall their appearance.

If you are a 30-year-old, your junior high school classmates have almost begun to enter the stage of forgetting.

By analogy, people have forgotten most of the relationships ten years ago, and even a considerable part of them have forgotten about five years ago.

The number of people we can remember in daily life is basically around 300. These 300 people are often contacted in daily life, and now they can remember their appearance.

As the frequency of contact decreases and the distance between life increases, a considerable number of these people will gradually fade out of your memory.

What Mo Hui needs to do now is to find these 4,000 people, assign values ​​to digital people, and allow them to establish social connections with each other in the digital world.

In addition, Mo Hui also needs to assign values ​​to these social connections, such as which person has a specific relationship of what nature, how much mutual influence is? What is the intimacy of the relationship?

These are also very critical information, which means that Mo Hui needs to find out the 300 people that everyone often comes into contact with in their daily lives and establish an accurate definition of relationships.

This part of the data cannot be done by a thin resume. These can only be found in personal big data. Fortunately, General Utilization Trajectory 2.0 has opened up these data channels, so don’t reply and just call it.

In addition to various public information, Mohui can also obtain users' data on major websites, gather all this data, and use deep learning software to filter and compare on a large scale.

For example, when a and b understand, you can use deep learning technology to analyze all network information records of a and b, define their relationship from multiple perspectives, and even assist in video surveillance recording. By analyzing the expressions and body language of the two when they meet, corresponding psychological analysis can be conducted to more accurately define the relationship between the two.

Because many data are ready-made, the analysis speed is very fast, and the super performance of ultrabooks plays a full role in the face of such large-scale high-density data.

The only obstacle to all this data is the transmission speed and retrieval speed. A lot of data is deposited deep in the disk arrays of various operators' computer rooms, which requires a little retrieval.

Fortunately, the ultrabook is quite powerful, which made Mo Hui quietly complete this intensive work without knowing it.
Chapter completed!