图书情报工作 ›› 2019, Vol. 63 ›› Issue (20): 104-111.DOI: 10.13266/j.issn.0252-3116.2019.20.012

• 情报研究 • 上一篇    下一篇

数据驱动的微信用户信息行为时间特征研究

张大勇1, 孔洪新1, 许磊2, 景东1   

  1. 1. 哈尔滨工业大学互动媒体设计与装备服务创新重点实验室 哈尔滨 150001;
    2. 哈尔滨工业大学计算机科学与技术学院 哈尔滨 150001
  • 收稿日期:2019-01-24 修回日期:2019-04-16 出版日期:2019-10-20 发布日期:2019-10-20
  • 作者简介:张大勇(ORCID:0000-0001-9122-2220),副教授,博士,E-mail:zhdy@hit.edu.cn;孔洪新(ORCID:0000-0001-8050-1080),助理工程师;许磊(ORCID:0000-0002-1112-8398),高级工程师,博士;景东(ORCID:0000-0001-9550-9595),工程师,博士研究生。
  • 基金资助:
    本文系教育部人文社会科学基金面上项目"大数据驱动的社交媒体用户角色识别与链接预测研究"(项目编号:19YJA630106)和国家社会科学基金青年项目"社交媒体突发公共事件的协同应急机制研究"(项目编号:14CXW045)研究成果之一。

Temporal Characteristics of Wechat Users' Information Behavior Based on Data-driven Approach

Zhang Dayong1, Kong Hongxin1, Xu Lei2, Jing Dong1   

  1. 1. Key Laboratory of Interactive Media Design and Equipment Services Innovation, Harbin Institute of Technology, Harbin 150001;
    2. School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001
  • Received:2019-01-24 Revised:2019-04-16 Online:2019-10-20 Published:2019-10-20

摘要: [目的/意义]相对于传统的信息行为分析,数据驱动的信息行为研究更注重数据的外在性与客观性,所得的结果能够更为全面地认识用户信息行为本质特征。[方法/过程]通过自行构建的APP实现对微信用户分享和阅读行为记录的采集,并对微信用户信息行为的时间特性进行系统的分析。[结果/结论]结果表明:微信用户日常信息行为存在显著的假日效应,但是在信息行为时间间隔分布上存在明显厚尾现象和很强的阵发性,预示着微信用户信息行为具有较高的复杂性和不确定性,无法对其产生过程实现有效的预测;此外,微信用户所分享的内容具有很强的时效性,多数内容在微信中能够得到及时的传播,但传播链长度显著受分享内容主题的影响。

关键词: 微信, 信息行为, 复杂性, 时间特征

Abstract: [Purpose/significance] Compared with traditional information behavior approaches, the research on information behavior based on the data-driven approach pays more attention to the externality and objectivity of data, and the testing results can be more comprehensive understanding of user information behavior characteristics.[Method/process] This paper realizes the collection of Wechat users' sharing and reading behavior records through a self-built APP, and systematically analyses the temporal characteristics of Wechat users' information behavior.[Result/conclusion] The results show that the daily information behavior of Wechat users has significant holiday effect, but there are a obvious fat-tail phenomenon and strong burstiness effect in the time interval distribution of information behavior, which indicate that the information behavior of Wechat users has high complexity and uncertainty, and can not effectively predict its generating process; on the other hand, when the contents shared by Wechat users have very strong time-effectiveness, the most contents can be timely disseminated in Wechat, but the length of the dissemination chain is significantly affected by the theme of the shared contents. This study provides a reference for revealing the complexity of human information behavior.

Key words: Wechat, information behavior, complexity, temporal characteristics

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