摘要
【目的】缓解虚拟社区开放式创新用户生成内容信息过载、处理效率低等问题,优化用户生成内容质量,有效识别并分析用户创新内容,提高虚拟社区协同创新绩效。【方法】基于交互协同视角提出一种用户生成内容创新价值识别方法:一是在创新要素特征方面,在用户属性和内容属性的基础上,引入创新要素异质性属性;二是在创新过程特征方面,关注交互内容的时序性和协同性。建立融合要素特征和过程特征的卷积-双向长短时记忆网络(Conv-BiLSTM)模型进行用户生成内容的价值识别。【结果】选取典型虚拟社区数据进行实证研究,结果表明:融合要素特征和过程特征模型的准确率为88.65%,过程特征的引入使模型准确率提升14.22个百分点,协同要素异质性属性的引入使模型准确率提升6.48个百分点,较其他基准模型与组合模型均有不同程度提升。【局限】仅针对虚拟社区创新内容识别取得较好的结果,需要提高模型的泛化能力,进而应用于其他类型协同创新识别方面。【结论】将创新交互的过程特征和协同创新要素异质性属性引入虚拟社区用户生成内容识别模型中,有效提升了识别的准确率,可以为社区开放式创新管理提供技术参考。
[Objective]This paper tries to alleviate the problems of information overload and low processing efficiency caused by user-generated content in the open innovation of virtual communities.It also aims to optimize the quality of user-generated content,effectively identify and analyze user-generated content,and improve the collaborative innovation performance of virtual communities.[Methods]We proposed a method for identifying the innovation value of user-generated content based on the interactive and collaborative perspective.First,in terms of innovation element features,we introduced the heterogeneity attributes of innovation elements based on user and content attributes.Second,regarding innovation process features,we focused on interactive content’s temporal and collaborative nature.Third,we established a Conv-BiLSTM model incorporating element and process characteristics to identify the value of user-generated content.[Results]We examined the new model with virtual community data.This empirical study showed that the new model’s accuracy reached 88.65%.The introduction of process characteristics increased the model’s accuracy by 14.22%,and the introduction of heterogeneous attributes of collaborative elements increased the accuracy by 6.48%,higher than other baseline or combination models.[Limitations]The model identified innovative content in virtual communities well.The model’s generalization ability needs to be improved for other types of collaborative innovation recognition.[Conclusions]Introducing process characteristics and the heterogenous collaborative innovation element attributes in the user-generated content recognition model of virtual communities improves the recognition accuracy and provides some reference for community open innovation management.
作者
王松
徐雅静
刘新民
Wang Song;Xu Yajing;Liu Xinmin(College of Economics&Management,Shandong University of Science and Technology,Qingdao 266590,China;College of Economics&Management,Qingdao Agricultural University,Qingdao 266109,China)
出处
《数据分析与知识发现》
CSSCI
CSCD
北大核心
2023年第4期77-88,共12页
Data Analysis and Knowledge Discovery
基金
国家自然科学基金项目(项目编号:71471105)
山东省社会科学规划项目(项目编号:18CGLJ38)的研究成果之一。
