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数据分析与知识发现  2019, Vol. 3 Issue (2): 13-20     https://doi.org/10.11925/infotech.2096-3467.2018.0424
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
基于计划行为理论的微博用户转发行为影响因素研究*
席林娜,窦永香()
西安电子科技大学经济与管理学院 西安 710126
Examining Reposts of Micro-bloggers with Planned Behavior Theory
Linna Xi,Yongxiang Dou()
School of Economics and Management, Xidian University, Xi’an 710126, China
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摘要 

【目的】探究微博用户转发行为的影响因素。【方法】基于计划行为理论, 考虑微博所传达情感及微博平台的时间线机制对于用户转发行为的影响, 提出研究假设并对其进行验证。【结果】用户情感与微博情感相似度、粉丝量均对微博用户转发行为具有显著影响, 微博时间线机制对于用户转发行为几乎没有影响。【局限】对于用 户的登录时间采用统一时间节点。【结论】本研究结果对于网络舆情控制、个性化推荐、微博广告营销具有借鉴意义。

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席林娜
窦永香
关键词 计划行为理论LDA主题模型用户行为分析    
Abstract

[Objective] This paper tries to explore the influencing factors of Microblog (Weibo) user’s reposting behaviors. [Methods] Based on the theory of planned behavior, we evaluted the sentiment of Weibo users and the impacts of the Weibo timeline on users’ reposting behaviors. [Results] The degree of similarity between the real world and online sentiments of Weibo users’, as well as the number of followers had significant impacts on Weibo user’s reposting behaviors. The timeline feature posed little effect to the user’s reposting behaviors. [Limitations] Only examined users logging in Weibo at a specific time. [Conclusions] This study could improve the performance of public opinion management, personalized recommendation, and advertising campains on Weibo.

Key wordsTheory of Planned Behavior    LDA Topic Model    User Behavior Analysis
收稿日期: 2018-04-20      出版日期: 2019-03-27
基金资助:*本文系国家自然科学基金青年项目“基于公众网络参与的民生公共政策第三方动态评估机理与方法研究”(项目编号: 71503195)和陕西省高校人文社会科学青年英才支持计划项目“社会化媒体中用户群体行为模式的发现与演化研究”(项目编号: ER42015060001)的研究成果之一
引用本文:   
席林娜,窦永香. 基于计划行为理论的微博用户转发行为影响因素研究*[J]. 数据分析与知识发现, 2019, 3(2): 13-20.
Linna Xi,Yongxiang Dou. Examining Reposts of Micro-bloggers with Planned Behavior Theory. Data Analysis and Knowledge Discovery, 2019, 3(2): 13-20.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2018.0424      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2019/V3/I2/13
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