基于人类动力学的微博用户评论行为研究  

Microblog Users’ Comment Behavior Based on Human Dynamics

作　　者：陆颖颖[1] 易明[1] 李梓奇 张展豪 李旭光 LU Ying-ying;YI Ming;LI Zi-qi;ZHANG Zhan-hao;LI Xu-guang(Information Management School,Central China Normal University,Wuhan 430079,China;School of History and Culture,Hubei University,Wuhan 430062,China;University Library,China Three Gorges University,Yichang 443002,China;Information Resources Management Department in Business School,Nankai University,Tianjin 300071,China)

机构地区：[1]华中师范大学信息管理学院,湖北武汉430079 [2]湖北大学历史文化学院,湖北武汉430062 [3]三峡大学图书馆,湖北宜昌443002 [4]南开大学商学院信息资源管理系,天津300071

出　　处：《情报科学》2023年第2期157-168,共12页Information Science

基　　金：国家社会科学基金重点项目“在线健康社区知识共创机理及引导机制研究”研究成果(21ATQ006)。

摘　　要：【目的/意义】基于客观行为数据构建微博发布-评论行为的定量模型,解释社交网络用户信息交互关系,为微博舆情的监控与引导提供理论依据。【方法/过程】以新浪微博为研究对象,对揭示微博群体层面多对多模式中的发布-评论行为特征的五个重要指标进行分析,构建描述微博多对多模式中的发布-评论行为的定量模型,并通过仿真验证模型的有效性。【结果/结论】微博评论数频数分布满足幂指数为1.6659的幂律分布;微博已获评论数、微博影响力、信息可见度是影响新增评论的连接机制。本文构建的定量模型可以较好模拟真实的微博发布-评论行为。【创新/局限】从人类动力学视角解释了微博多对多模式的微博发布-评论行为的过程,揭示了群体层面的发布-评论行为生成机制。本文没有对不同类型微博的评论行为进行区分,在未来的研究中,将针对不同类型微博的评论行为做进一步探索。【Purpose/significance】Build a quantitative model of microblog post-comment behavior based on objective behavior data to explain and verify the information interaction relationship of social network users and provide basis for microblog service optimization.【Method/process】Taking Sina microblog as the research object, this paper analyzes five important indicators that reveal the characteristics of post-comment behavior in the many to many mode of microblog group level, constructs a quantitative model to describe the post-comment behavior in the many to many mode of microblog, and verifies the effectiveness of the model through simulation.【Result/conclusion】The frequency distribution of microblog comments meets the power-law distribution with a power index of 1.6659;The number of comments received by microblog, microblog influence and information visibility are the connection mechanisms that affect new comments. The quantitative model constructed in this paper can better simulate the real microblog post-comment behavior.【Innovation/limitation】From the perspective of human dynamics, this paper explains the process of microblog post-comment behavior in the mode of many to many, and reveals the generation mechanism of post-comment behavior at the group level. This paper does not distinguish the comment behavior of different types of microblogs. In the future research, we will further explore the comment behavior of different types of microblogs.

关 键 词：人类动力学 微博 多对多模式 评论行为 评论连接 

分 类 号：G206.3[文化科学—传播学]