管理评论 ›› 2021, Vol. 33 ›› Issue (5): 331-340.

• 物理-事理-人理系统方法论(WSR) • 上一篇    下一篇

用户网络行为特征与专业知识水平——基于“汽车之家”注册用户的实证研究

林杰, 杨兆洁   

  1. 同济大学经济与管理学院, 上海 200092
  • 收稿日期:2018-08-16 出版日期:2021-05-28 发布日期:2021-06-03
  • 通讯作者: 林杰(通讯作者),同济大学经济与管理学院教授,博士生导师,博士
  • 作者简介:杨兆洁,同济大学经济与管理学院硕士研究生。
  • 基金资助:
    国家自然科学基金项目(71672128)。

Users' Internet Behavior Characteristics and Professional Knowledge Level——An Empirical Study Based on the Users of autohome.com

Lin Jie, Yang Zhaojie   

  1. School of Economicsand Management, Tongji University, Shanghai 200092
  • Received:2018-08-16 Online:2021-05-28 Published:2021-06-03

摘要: 在专业性网络论坛中,识别专业知识水平高的用户网络特征对企业识别高价值的领先用户,实现产品互动创新非常具有意义。本文选取了“汽车之家”论坛数据,通过文本分析和用户网络行为特征统计,利用两阶段最小二乘法建模对用户网络行为特征和其专业知识水平进行了相关性分析。实证结果表明,专业知识水平高的用户在网络中具有以下特征:在社交网络中的中心度很高、回帖频次高、帖子的平均长度很长、粉丝量大,并且该用户会同时活跃在多个小团体中。研究结论能够为企业识别领先用户进行互动创新提供实践依据。

关键词: 网络论坛, 网络行为, 专业知识水平, 领先用户

Abstract: To recognize network characteristics of users with a high level of professional knowledge in professional BBS is of vital importance for enterprises to recognize lead users with a high value, who can help promote interactive innovation of product. This paper chooses data from autohome.com, a professional automobile BBS, and conducts textual analysis and statistics of user network behavior features. The two-stage least square meter is adopted for modeling and to conduct correlation analysis of users' internet behavior characteristics and professional knowledge level. Empirical results suggest that users with a high level of professional knowledge usually demonstrate the following features: a high degree centrality, a high reply frequency, a long average length of posts, a large number of fans, and simultaneous activity in multiple subgroups. This research can render practical foundation for enterprises interactive innovation.

Key words: web forum, internet behaviors, professional knowledge level, lead users