作　　者： ;

机构地区： 华南理工大学

出　　处： 《科技管理研究》 2016年第5期104-110,共7页

摘　　要： 关注如何运用社会网络的原理，利用社区成员对事件的参与程度，对知识进行挖掘并分类的问题。以“知乎”为例，建立2-模网络模型，避免了节点之间的连接是基于主观判断的问题，同时基于社会网络的凝聚特性，提出“知识子群”的概念。研究表明，在虚拟社区中应更注重成员的参与行为而不只是相互关注行为；基于多重连线值能有效找到知识网络节点中的内在联系与相似程度，以实现知识分类、挖掘与发现的目的。 This paper focuses on how to extract and discover the knowledge based on the level of communication among community members, with the theory of social network. According to the existing data of affiliation, this paper took ＂Zhi- hu＂, and built the net model, which avoided the subjective judgment on the building of nodes linking, emphasized and the interbehavior of question and answer, and reflected on the level of communication in some way. Meanwhile, based on the cohesion of social network, this paper put forward the concept about ＂knowledge subgroups＂. The result shows that： （ 1 ） the research in social website prefers to focusing on the interbehavior than the behavior of following each other, （2） it could found the inner connection and the level of similarity among nodes of knowledge network based on the value of multiple lines, in order to accomplish the knowledge discovery and classification.

关 键 词： 从属关系 知识子群 虚拟社区 2-模网络 多重连线值

分 类 号： [C39]

领　　域： []