Chapter 173: How Many People Do You Know in Your Life?
Mo Hui simply turned off the wireless route, and it turned out that the ultrabook Internet access was not affected at all, as long as you enter the URL, the ultrabook can access the Internet normally, everything is normal, but the most abnormal thing is that it does not need to access the device at all, and even in the shielding laboratory, everything is as usual. Pen "Fun" Pavilion www.biquge.info
Enter the IP address of the Skynet server, the Ultrabook is smoothly linked to the server, all files are called normally, and various instructions are executed normally.
Mo Hui felt that there were still many unknown secrets waiting for him to excavate in the ultrabook.
~~~~~~
The framework of the digital world was quickly built, and the foundation of the world is Digital New York, which has nearly 20 million people, and 20 million people are actually digital people.
These digital people basically correspond to real people one by one, but after these digital people settle in, they are just boring digital human models, although they are highly similar to the appearance of the corresponding people, but they are currently very dull.
The completion of digital human modeling is just a digital human model for a real person, and this step does not actually reflect the value of the digital world.
Next, Mo Hui needs to add the attribute of "human" to the digital person, so that it can change from a digital model to a flesh-and-blood digital model with "human nature" that can simulate the behavior of real people.
There's a lot of work to be done to do that, but the first thing to do is to straighten out the social network, put each digital person in a social grid, and then mark their relationships with each other.
For example, Tom and Jerry are college classmates, so in the digital world, all of their classmates need to be marked out and connected.
Similarly, if Tom had worked in Google's marketing department for 11 to 13 years, then he would have to be marked out at the same time, Tom's neighbors, Tom's parents, and so on.
In order to build this social network structure, Mo Hui specially introduced deep learning technology, which has a certain self-learning ability and can have a certain intelligence in learning, which can help Mo Hui solve the problem of data analysis.
With the analysis technology, Mo Hui also needs a data source to demarcate everyone's subjective social connection, which refers to those obvious social relationships that are relatively easy to observe, such as kinship, neighbor relationship, classmate relationship, and colleague relationship, which are basically difficult to fake and blur, and are relatively easy to define.
In order to obtain this part of the subject's social connection data, Mo Hui called up the resume databases of several major recruitment websites in the United States through the power of the hand of God, among which LinkedIn's data has the prototype of this social network.
The data on your resume can be corroborated and miscorroborated, your resume can be faked, but your social connections are difficult to fake.
With the resume database of major recruitment websites in the United States, the main framework of the social network of data people has been built, but in addition to those main social relationships, there are many other social relationships for everyone, such as netizens, such as friends added on Facebook, such as customer relationships, such as friends met at work, friends met by participating in various parties, and friends met by participating in various clubs.
This kind of relationship is difficult to appear in resumes, files, and legal records, and the proportion of these relationships is still very high, which also requires finding the right data source.
According to statistics, a person can know about 4,000 people in his life, and this understanding usually means that you can remember what he looks like, know his name, talk to him, and your relationship is mutual, and he knows you equally.
These 4,000 people appear at all stages of life, and they are usually your classmates, neighbors, and colleagues at all stages.
These people basically only appear at a certain point in your life, and then as you get older, they are all forgotten.
If you're in your 20s, you probably can't remember the names of a few of your elementary school classmates by now, and it will take you a long time to remember what they looked like.
If you're a 30-year-old, your junior high school classmates are almost starting to forget.
By analogy, people have mostly forgotten about the relationship ten years ago, and even the relationship five years ago has forgotten a considerable part.
The number of people we can remember every day is basically about 300, and these 300 people are people who are often in contact with each other every day, and now we can remember what they look like.
As the frequency of contact decreases, and the distance between life increases, a considerable number of these people must slowly fade out of your memory.
What Mo Hui needs to do now is to find these 4,000 people, assign values to the digital humans, and let them 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 is specific and what is the nature of the relationship, and how much influence does it have? What is the intimacy of the relationship?
These are also very critical messages, that is, Mo Hui needs to find out the 300 people that everyone often comes into contact with in their daily lives to establish an accurate definition of relationships.
This part of the data is not a thin resume can be done, these can only be found from personal big data, fortunately, the general use of trajectory 2.0 has opened up these data channels, Mo Hui only needs to call.
In addition to various public information, Mo Hui can also obtain users' private data on major websites, gather all this data, and use deep learning software to screen and compare a wide range.
For example, if A and B know each other, you can use deep learning technology to analyze all the network information records of A and B, define the relationship between them from multiple perspectives, and even assist in video surveillance recordings, and conduct corresponding psychological analysis by analyzing the expressions and body language of the two people when they meet, so as to more accurately define the relationship between the two.
Because much of the data is readily available, analysis is fast, and the ultra-performance of ultrabooks comes into full play in the face of such large, high-density data.
The only obstacle to all this data is the transmission speed and retrieval speed, and a lot of data is deposited in the depths of the disk arrays in the equipment rooms of various operators, which need to be retrieved little by little.
Fortunately, the ultrabook is more powerful, so that Mo Hui quietly completed this huge work without knowing it. (To be continued.) )