按流失度对组织知识分类的超网络模型

The Organization Knowledge Classification Based on Supernetwork According to Knowledge Loss Degree

按知识流失度可将知识分类成易流失知识和常识性知识。这对组织具有重要意义，也是知识管理的一个重要研究内容。本文从定量的角度出发，提出用超网络模型计算知识流失度，再根据这个客观指标对组织知识进行分类。先按照不同类型的数据，分别建立人员网络、物质载体网络和知识网络，再根据各个网络间的关系构建超网络模型。在超网络中，首先依据知识网络与人员网络之间的关系计算出知识流失度，然后依据知识流失度对组织知识进行分类。在此基础上，又将组织知识的领域划分成易流失领域和常识性领域。最后给出一个实例对构建的模型和方法进行了验证。

The main objective of the investigation is to study the organization knowledge classification according to knowledge loss degree based on supemetwork. First, we set up the personnel network, the material carrier network and the knowledge network using the appropriate type of data, and then build the supemetwork model on the basis of them and their relations. Second, this paper defines knowledge loss degree and calculates the values of loss degree of all knowledge according to the relations between knowledge network and personnel network, and subsequently classify the organization with them. Then we make the knowledge network cluster, and classify the domains of the organization knowledge. Finally, the model and method are well illustrated by an application case.