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基于群体智慧理论的协同标注信息行为机理研究——以豆瓣电影标签数据为例
引用本文:易明,冯翠翠,莫富传,邓卫华.基于群体智慧理论的协同标注信息行为机理研究——以豆瓣电影标签数据为例[J].情报学报,2021(1):101-114.
作者姓名:易明  冯翠翠  莫富传  邓卫华
作者单位:华中师范大学信息管理学院;华中农业大学公共管理学院
基金项目:国家社科基金项目“面向群体智慧涌现的在线研讨信息组织研究”(17BTQ064);中央高校基本科研业务费资助项目(优博培育项目)“协同标注行为的共识机理研究”(2020YBZZ095)。
摘    要:本文从群体智慧理论出发,构建了协同标注信息行为模型,将协同标注信息行为从宏观层面划分为初始阶段、中级阶段和终极阶段三个子过程;从微观层面划分为发散、收敛和凝聚三个子环节。其中,宏观层面描述了协同标注信息行为由量变到质变的过程,凸显了过程性;微观层面描述了协同标注信息行为中群体智慧涌现的基本过程,凸显了协同性。本研究通过对豆瓣电影标签数据的实证分析发现:基于群体智慧理论的三阶段-三环节模型合理地解释了协同标注信息行为的过程性和协同性;标签标注次数的偏度系数总体呈增长趋势,群体智慧在协同标注信息行为过程中不断涌现;标签引用是整个协同标注信息行为过程中的常态,逐渐形成了稳定的代表群体用户意见的高频标签群;八种协同标注信息行为模式在整个协同标注信息行为的过程中均有发生,但收敛模式较为稳定,发散模式有很大的概率转为收敛模式;协同标注信息行为过程以收敛环节为主,群体用户意见经历由发散向收敛转移,并最终凝聚全局共识、涌现大众分类。研究结果表明,本文的理论模型与研究方法具有科学性,能够丰富协同信息行为的理论与方法体系。

关 键 词:协同标注信息行为  群体智慧  大众分类

Research on Collaborative Tagging Behavior Mechanisms Based on Collective Intelligence Theory Based on Douban Movie Tag Data
Yi Ming,Feng Cuicui,Mo Fuchuan,Deng Weihua.Research on Collaborative Tagging Behavior Mechanisms Based on Collective Intelligence Theory Based on Douban Movie Tag Data[J].Journal of the China Society for Scientific andTechnical Information,2021(1):101-114.
Authors:Yi Ming  Feng Cuicui  Mo Fuchuan  Deng Weihua
Institution:(School of Information Management,Central China Normal University,Wuhan 430079;School of Public Management,Huazhong Agricultural University,Wuhan 430070)
Abstract:Based on the theory of collective intelligence,this study constructed a collaborative tagging behavior model.The collaborative tagging behavior included three sub-processes:the initial stage,intermediate stage,and ultimate stage at the macro level,and three sub-steps:divergence,convergence,and cohesion at the micro level.The macro level described the process of collaborative information organization behavior from quantitative change to qualitative change,highlighting the process of collaborative tagging behavior;and the micro level described the basic process of the emergence of group intelligence in collaborative tagging behavior,highlighting the synergy of collaborative tagging behavior.Empirical analysis based on Douban movie tag data found that the collaborative tagging behavior model reasonably explained the process and synergy of collaborative tagging behavior.The skew coefficient of tag labeling times generally increased,and the collective intelligence kept emerging during the process of collaborative tagging behavior.Tag citation was the normal status of the entire collaborative tagging behavior process,leading to the formation of a stable,high-frequency tag group that represented the opinions of the group users.The eight patterns of collaborative tagging behavior occurred throughout the entire process of collaborative tagging behavior,but the convergence mode was relatively stable,and the divergence mode will join the convergence mode with high probability.The collaborative tagging behavior process was dominated by convergence,which showed that the group users’opinions made a transition from divergence to convergence,and finally condensed to achieve a global consensus.The results showed that the theoretical model and research methods of this paper are scientific,and can enrich the theory and method of collaborative information behavior.
Keywords:collaborative tagging behavior  collective intelligence  folksonomy
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