Big Data Modeling and Analysis of Microblog Ecosystem

Hua-Ping Zhang; Rui-Qi Zhang; Yan-Ping Zhao; Bao-Jun Ma

doi:10.1007/s11633-014-0774-9

Volume 11 Issue 2

April 2014

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Hua-Ping Zhang, Rui-Qi Zhang, Yan-Ping Zhao and Bao-Jun Ma. Big Data Modeling and Analysis of Microblog Ecosystem. International Journal of Automation and Computing, vol. 11, no. 2, pp. 119-127, 2014. https://doi.org/10.1007/s11633-014-0774-9

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Big Data Modeling and Analysis of Microblog Ecosystem

doi: 10.1007/s11633-014-0774-9

School of Computer Science, Beijing Institute of Technology, Beijing 100081, China;
School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;
School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China

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This work was partly supported by National Natural Science Foundation of China (No.61272362), National Basic Research Program of China (973 Program) (No.2013CB329606), and High-Tech Development Plan of Xinjiang (No.201212124).

Received Date: 2013-07-31
Rev Recd Date: 2013-11-21
Publish Date: 2014-04-01

Abstract

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.
- Microblog mining,
- user activity pattern,
- user personalization,
- user intention,
- microblog ecosystem

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References(23)

References

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