Big Data Modeling and Analysis of Microblog Ecosystem附视频

被引：0

作者：

HuaPing Zhang ^{[1
]}

RuiQi Zhang ^{[1
]}

YanPing Zhao ^{[2
]}

BaoJun Ma ^{[3
]}

机构：

[1] School of Computer Science,Beijing Institute of Technology

[2] School of Management and Economics,Beijing Institute of Technology

[3] School of Economics and Management,Beijing University of Posts and

来源：

International Journal of Automation and Computing | 2014年 / 02期

关键词：

Microblog mining; user activity pattern; user personalization; user intention; microblog ecosystem;

D O I：

暂无

中图分类号：

TP393.09 [];

学科分类号：

080402 ;

摘要：

Recent progress of Web 2.0 applications has witnessed the rapid development of microblog in China, which has already been one of the most important ways for online communications, especially on sharing information. This paper tries to make an in-depth investigation on the big data modeling and analysis of microblog ecosystem in China by using a real dataset containing over17 million records of SinaWeibo users. First, we present the detailed geography, gender, authentication, education and age analysis of microblog users in this dataset. Then we conduct the numerical features distribution analysis, propose the user influence formula and calculate the influences for different kinds of microblog users. Finally, user content intention analysis is performed to reveal users most concerns in their daily life.

引用

页码：119 / 127

页数：9