专业型虚拟社区知识共享主体分类与特征研究

Research on Classification and Characteristics of Knowledge Sharing Subjects in Professional Virtual Communities

本文目的是在RFM模型的基础上,依据最后发帖日期、日均发帖量和知识共享价值三项指标构建专业型虚拟社区知识共享的主体分类模型。进一步以丁香园论坛为例进行实证研究,使用主体分类模型和K-means聚类算法对虚拟社区用户进行划分,最终得到核心成员、潜在价值成员、观望期成员和沉没成员四种用户类型。详细分析了四种用户类型的类型特征与在虚拟社区中的分布情况,以期对其他虚拟社区知识共享主体分类研究提供借鉴。

The purpose of this paper is to construct a professional virtual community knowledge sharing subject classification model based on the RFM model,using the last posting date,average daily number of posts,and knowledge sharing value as indicators.This study took the Dingxiangyuan Forum as a case to conduct empirical research.We use the subject classification model and the K-means clustering algorithm to classify users in the virtual community,and finally obtain four user types:core members,potential valued members,wait-and-see members,and sunk members.Type characteristics of the four user types and their distribution in the virtual community are analyzed in detail,to provide navigation for other researches on the classification of knowledge sharing subjects in virtual communities.