Zhihu Core User Big Data Report

Recently, I wrote a crawler, which captured the public information of 3W core users in Zhihu. Although Zhihu boasts 65 million registered users and daily active users18.5 million, a large part of them are "three no users". Because this part of users revealed little data, and the new version of Zhihu server has a limit on the maximum number of requests for a single IP (about once per second), so I only climbed the core 3W users.

My reptile rule is this: randomly select 10 from Zhihu V with tens of thousands of concerns, crawl the people you care about in turn, and then crawl the people you care about from the people you care about, so recursively. In other words, the rules of the crawler ensure that everyone who enters the database has at least one follower. The following data analyzes the information obtained from the crawler. Please forgive me if there is any deviation in the report.

Firstly, the job descriptions of Zhihu users are analyzed by word cloud, and the top 100 high-frequency words are listed. The results are as follows.

In the high-frequency word analysis of job description, "Internet" won 4552 times, followed by "University" with a frequency of 2 163. This is consistent with what we usually see: Internet practitioners and famous school students occupy the main force of content output. These high-frequency words 100 also include information about users' interests and places of residence in Zhihu, but we will analyze them carefully in the future.

Let's take a look at all kinds of "best" in Zhihu. What are the highest approval numbers, the most followers and the most written answers?

The first is the ranking of the highest number of approvals.

On the number of approvals, Teacher @ Zhang Jiawei surpassed the second place by her own efforts, and she is a shoo-in champion. Then the top five are @ Fat Cat, @ Oceane zhu and @ Pawn. Brother LUN ranked sixth.

Then let's take a look at the list with the most attention.

In the list of followers, Teacher @ Zhang Jiawei is still far ahead of Teacher @ Kai-Fu Lee. Further ahead are Zhihu bosses @ Huang Jixin and @ Kelly Y Zhou, and further ahead are @ yolfil.

Let's look at the list with the most answers.

@Phil got Top 1 with extremely high output, while @vczh, who is known as "walking around", can only rank second. The top five are @ Wang Ruofeng, @ Chai Jianyi and @ Zhenliang.

Let's look at the list with the most questions.

@ Chang Wei ranked first with 2684 questions, and @ Turing Hall, which is famous for its future knowledge map, ranked second. The top five are @ Xinyan, @ Cheng Han and @ Sean.

Then there is the comparison of the number of employees in BAT No.3 Factory, according to the frequency of the captured user job descriptions.

It can be seen that Goose Factory has the highest proportion of employees in Zhihu, followed by Ali (word frequency: 0.004554), and Xiong Factory is slightly behind.

It is said that Zhihu is a place full of 985/2 1 1, so which is stronger after the resumption of diplomatic relations between Qing and North China?

It can be seen that the word frequency of Peking University and Tsinghua is similar, and the latter three need to work harder.

In the era of mobile intelligence, Android, iOS and WEB front-end engineers simply shine in today's software development. So what kind of programmers are the most in Zhihu?

Results The frequency of front-end words was much higher than that of Android and iOS. In fact, it is almost the sum of Android and iOS. Let's just say that you may be a fan who firmly believes that Jobs is less, or an Android fan who embraces open source, but everyone needs to browse the web, right? )

Then I was curious about the general interest of Zhihu users.

It turned out that fitness topped the list. It seems that fitness is generally advocated in Zhihu, so as to improve its value and attractiveness. But why is the proportion of reading the lowest? For this reason, I can only assume that students in Zhihu are highly efficient in learning, and after completing the basic reading tasks, they will go to other fields to explore the bigger world. Or reading, compared with tourism and fitness photography, the cost performance is not very high, so people are more inclined to go to the gym, travel and take pictures.

Geographical distribution of users in Zhihu.

Word frequency is concentrated in North China, Guangzhou, Shenzhen, Hangzhou, Sichuan, Zhejiang and Jiangsu. Similar to personal subjective impression. After all, the above-mentioned darker colors are all provinces with relatively developed Internet industries.

Then there is the question of the ratio of men to women in Zhihu that everyone is most concerned about.

Among the users' data, men account for 67.8%, while women only account for 32.2%. That is to say, the ratio of male to female is greater than 2: 1.

Seeing this, you may refute me that the gender of the initial users in Zhihu is male, so it is impossible to make such big news. I also think it makes sense, so I further screened the core users in the core. The screening condition is that there are more than 200 fans and more than 400 users are recognized. This down-sampling should be accurate. Then there is the picture below.

The proportion of women dropped to 30. 1%, and the proportion of men was 69.9%. This data is more unbalanced than the previous data. Therefore, female users are more scarce and precious in Zhihu.

Therefore, Zhihu is not so much a high-quality Q&A community as:

Author: Peng Source: Zhihu