[Playing nuggets] Nuggets contract author, force parameter analysis, data section

This is the 13th day of my participation in the August More text Challenge. For details, see: August More Text Challenge.

preface

Nuggets contract writer, is a model for everyone to learn from, let’s come together from three dimensions

1. Gross dimension
2. The mean dimension
3. Top Single article dimensions

To analyze the peak of the game, the parameters of the fight, so that you know more about who the Nuggets are signing, and you know the difference between them.

Note: No rankings are made

Play with the Nuggets series and extend some interesting features to the Nuggets like:

• The Nuggets column is now generating PDF files

In this paper, the source code

Nuggets contract author force analysis JJPower source code

While analyzing nuggets signers, it can be used to analyze any nuggets writer, including yourself

Target analysis: Who the Nuggets are signing

In this article: The moon film: Gold mining authors signed, is to do something valuable to the industry has been mentioned in the article, is 11 high-quality authors.

They are:

So far, everyone is not very envious, what also don’t say, speed to pay attention to a wave.

There is also pressure on the signing authors. The first period of signing is 3 months, why not one year? I’ll just take a shot in the dark.

The official announcement is the above 11, in fact, it is not: accidentally found that a Big God of Aobin also has the tag of nuggets signing writer.

So, I don’t care what the truth is, I just know that they are excellent.

With the object of analysis basically confirmed, we move on to the next step, analyzing dimensions.

Partial data presentation

Just to explain, the nuggets were less active and it was harder to get likes.

Total combat power parameter

Average combat parameters per article

The top article recommended

Top article is the comprehensive score = likes * 1 + Favorites * 0.5 + comments * 0.2 + read * 0.01 too many articles, I will not list, take a baoge and Ao Bing as an example.

The elder brother of the Po

• A rare TS study guide (1.8w words) – 6249
• 1.2 W word | great TypeScript introductory tutorial – 4809 * file upload, understand the 8 kinds of scene is enough – 3047
• These open source projects let you easily cope with the top ten work scenarios – 2441
• 77.9K Star Axios project what is worth learning from place – 2259
• Understand TypeScript generics and applications (7.8k words) -1905

AoBing

• Let’s Go to Dafang Series – Redis Foundation – 3436
• “Vomiting blood collation” top programmer tool set – 3376
• “Let’s go to Dafang” series – Seckill system design – 3261
• A month face several big factories summed up the 5W word after the end face via (continuous update) – 2383
• Let’s Go to Dafang Series – Cache Avalanche, Penetrate, Penetrate – 2156
• “Let’s Go to The Factory together” series -Redis Sentinel, Persistence, Master and slave, Hand tear LRU-1920

Analysis of the dimension

Based on the dimension

There are only a few basic statistics, there are other basic statistics, such as column books, people who follow other people, boiling points, likes, etc., but it does not reflect the battle parameters.

1. The article number
2. Won praise for
3. comments
4. Collect the number
5. reading
6. Pay attention to several

Gross dimension

• Digging force value
• The total number of articles
• The total number of received praise
• The total number of comments
• The total number of collection
• The total amount of reading
• The total number of attention

The mean dimension

• Great number of
• comments
• reading
• collection

Top Single article dimensions

Score = Likes * 1 + Favorites * 0.5 + Comments * 0.2 + Reads * 0.01

Of course you can do a single dimension calculation, such as:

• Won praise for
• comments
• Read the number
• Collect the number

Data analysis and collection

Open your personal home page. Take A brother as an example juejin.cn/user/764915… , observe the data.

We need to get data from two interfaces, one is user/ GET and the other is article/query_list.

User/GET can get some summary data, except

1. The total number of comments
2. The total number of collection

For both values, you need the article/query_list interface to get all the articles to add up.

User/get interface

Obtain some summary information of users. The information available here is driving force value, total number of followers, total number of posts, total number of likes and total number of readings

Full address: api.juejin.cn/user_api/v1…

Request mode: GET

Return result: remove unnecessary information

{
    "user_id": "764915822103079"."user_name": ""."power": 39653, # Driving force value"follower_count": 13801, # Followers"post_article_count": 86, # Post number"got_digg_count": 29932, # likes"got_view_count": 1102635, # read number}Copy the code

The article/query_list interface

Get some summary information of users. The information available here is the number of likes, favorites, comments, views, and Top analysis data for individual articles.

Full address: api.juejin.cn/content_api…

Request mode: POST

Return result: remove unnecessary information

{
     "article_info": {
         "digg_count": 774, # likes"collect_count": 952, # Favorites"comment_count": 56, # Comment count"view_count": 25941# number of readings}}Copy the code

Code implementation

I got the idea, the code, all right.

Move to nuggets signed author force analysis JJPower source

summary

Isn’t that easy? It doesn’t look that hard.

Write in the last

If you think it’s good, your praise is the biggest motivation for me to move forward.

The technical exchange group, please come here. Or add my wechat dirge-cloud and study together.