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

Big data modeling and analysis of microblog ecosystem

Hua Ping Zhang, Rui Qi Zhang, Yan Ping Zhao^*, Bao Jun Ma

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

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.

Original language	English
Pages (from-to)	119-127
Number of pages	9
Journal	International Journal of Automation and Computing
Volume	11
Issue number	2
DOIs	https://doi.org/10.1007/s11633-014-0774-9
Publication status	Published - Apr 2014

Keywords

Microblog mining
microblog ecosystem
user activity pattern
user intention
user personalization

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10.1007/s11633-014-0774-9

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title = "Big data modeling and analysis of microblog ecosystem",

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.",

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AU - Zhang, Hua Ping

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AU - Zhao, Yan Ping

AU - Ma, Bao Jun

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AB - 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.

KW - Microblog mining

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KW - user activity pattern

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Big data modeling and analysis of microblog ecosystem

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Keywords

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