Big data modeling and analysis of microblog ecosystem |
| |
Authors: | Hua-Ping Zhang Rui-Qi Zhang Yan-Ping Zhao Bao-Jun Ma |
| |
Affiliation: | 1. School of Computer Science, Beijing Institute of Technology, Beijing 100081, China; 2. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China; 3. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China |
| |
Abstract: | 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 over 17 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. |
| |
Keywords: | Microblog mining user activity pattern user personalization user intention microblog ecosystem |
本文献已被 CNKI 维普 SpringerLink 等数据库收录! |
| 点击此处可从《国际自动化与计算杂志》浏览原始摘要信息 |
|
点击此处可从《国际自动化与计算杂志》下载全文 |
|