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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (4): 99-109    DOI: 10.11925/infotech.2096-3467.2017.1256
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Analyzing Information Behaviors of Mobile Social Network Users
Feifei Wang,Shengtai Zhang()
School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing100876, China
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[Objective] This paper aims to explore the information behaviors of mobile social network (WeChat) users. [Methods] We crawled the WeChat users’ published posts in the past 5 years, and analyzed their information behaviors based on their characteristics, information contents, WeChat message posted time, WeChat Like and comment numbers. [Results] User-generated contents were affected by the user’s characteristics. There were significant differences among the numbers of Like and comments on different contents. WeChat users’ information posting intervals showed that most WeChat behaviors occurred within a short period of time. [Limitations] The sample size needs to be expanded to generalize our conclusions. [Conclusions] This study provides theoretical foundations for analyzing the behaviors of mobile social network users.

Key wordsMobile Social Network      WeChat Users      Information Release      Statistical Characteristics     
Received: 12 December 2017      Published: 11 May 2018

Cite this article:

Feifei Wang,Shengtai Zhang. Analyzing Information Behaviors of Mobile Social Network Users. Data Analysis and Knowledge Discovery, 2018, 2(4): 99-109.

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