公开数据集
数据结构 ? 427.7M
Data Structure ?
* 以上分析是由系统提取分析形成的结果,具体实际数据为准。
README.md
Twitter Friends and hashtags
----------------------------
Context
=======
This datasets is an extract of a wider database aimed at collecting Twitter user's *friends* (other accound one follows). The global goal is to study user's interest thru who they follow and connection to the hashtag they've used.
Content
=======
It's a list of Twitter user's informations.
In the JSON format one twitter user is stored in one object of this more that 40.000 objects list. Each object holds :
- avatar : URL to the profile picture
- followerCount : the number of followers of this user
- friendsCount : the number of people following this user.
- friendName : stores the *@name* (without the '@') of the user (beware this name can be changed by the user)
- id : user ID, this number can not change (you can retrieve screen name with this service : [https://tweeterid.com/][1])
- friends : **the list of IDs the user follows (data stored is IDs of users followed by this user)**
- lang : the language declared by the user (in this dataset there is only "en" (english))
- lastSeen : the time stamp of the date when this user have post his last tweet.
- tags : the hashtags (whith or without #) used by the user. It's the "trending topic" the user tweeted about.
- tweetID : Id of the last tweet posted by this user.
You also have the CSV format which uses the same naming convention.
These users are selected because they tweeted on Twitter *trending topics*, I've selected users that have at least 100 followers and following at least 100 other account (in order to filter out spam and non-informative/empty accounts).
Acknowledgements
================
This data set is build by Hubert Wassner (me) using the Twitter public API. More data can be obtained on request (*hubert.wassner AT gmail.com*), at this time I've collected over 5 milions in different languages. Some more information can be found here (in french only) : [http://wassner.blogspot.fr/2016/06/recuperer-des-profils-twitter-par.html][2]
Past Research
=============
No public research have been done (until now) on this dataset.
I made a private application which is described here : [http://wassner.blogspot.fr/2016/09/twitter-profiling.html][3] (in French) which uses the full dataset (Millions of full profiles).
Inspiration
===========
On can analyse a lot of stuff with this datasets :
- stats about followers & followings
- manyfold learning or unsupervised learning from friend list
- hashtag prediction from friend list
Contact
=======
Feel free to ask any question (or help request) via Twitter : [@hwassner][4]
Enjoy! ;)
[1]: https://tweeterid.com/
[2]: http://wassner.blogspot.fr/2016/06/recuperer-des-profils-twitter-par.html
[3]: http://wassner.blogspot.fr/2016/09/twitter-profiling.html
[4]: http://twitter.com/hwassner
×
帕依提提提温馨提示
该数据集正在整理中,为您准备了其他渠道,请您使用
注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
暂无相关内容。
暂无相关内容。
- 分享你的想法
去分享你的想法~~
全部内容
欢迎交流分享
开始分享您的观点和意见,和大家一起交流分享.
数据使用声明:
- 1、该数据来自于互联网数据采集或服务商的提供,本平台为用户提供数据集的展示与浏览。
- 2、本平台仅作为数据集的基本信息展示、包括但不限于图像、文本、视频、音频等文件类型。
- 3、数据集基本信息来自数据原地址或数据提供方提供的信息,如数据集描述中有描述差异,请以数据原地址或服务商原地址为准。
- 1、本站中的所有数据集的版权都归属于原数据发布者或数据提供方所有。
- 1、如您需要转载本站数据,请保留原数据地址及相关版权声明。
- 1、如本站中的部分数据涉及侵权展示,请及时联系本站,我们会安排进行数据下线。