基于加权知识网络的企业社区用户创新知识建模及分析方法

用户创新知识对企业改进产品和服务有重要意义.本文提出一种基于加权知识网络(WKN)的企业社区用户创新知识建模及分析方法,对社区帖子进行文本挖掘,通过关注度算法依次计算帖子和知识点关注度,并以关注度和词频数为属性,构建节点具有两类属性的WKN模型,实现对用户创新知识整合及建模.利用模型的点、边、权等特性,进行核心创新知识识别、创新中心点及核心关联模式识别,以及基于点边权综合的WKN个体网分析、基于凝聚子群的创新知识类团分析等.从模型及实例可看出,模型的双重点权可以很好地适应用户创新知识的特点,基于模型提出的知识发现及分析方法,可对用户创新知识进行多种深入地定量分析,为企业获取和利用用户创新知识提供了更有效的工具.

Modeling and analyzing methods of user-innovation knowledge in enterprise communities based on weighted knowledge network

User-innovation knowledge, as the important source of product and service innovation, is of significance to enterprises. In this paper, we propose a discovering and analyzing method to study the user-innovation knowledge in enterprises' virtual communities based on weighted knowledge network (WKN). First, the user-innovation knowledge presented as forum posts in virtual communities was acquired through the method of web content mining. After processing, the frequency of keywords and the attention degree of each post and keyword were calculated and then were given as two types of node's weight in this WKN model. Next, based on the WKN model, the core knowledge and the relations between knowledge were identified by analyzing the nodes, edges, weights and the ego networks in the WKN model. Finally, Xiaomi community and Huawei community were taken as the study cases to verify the validity of the methods. Compared with the existing method of knowledge discovering, the presented methods are more clearly and thoroughly to identify knowledge and the inter-relations between knowledge points, and it also provides a new tool to study the user-innovation knowledge in enterprise virtual communities.