基于链网式组织形式的群体知识协作模拟研究  

Study on Simulation of Group Knowledge Collaboration Based on Linked Network

作　　者：贺超城 吴江[1,2] 刘福珍 陈君[1,2] He Chaocheng;Wu Jiang;Liu Fuzhen;Chen Jun(Center for Studies of Information Resources,Wuhan University,Wuhan 430072,China;School of Information Management,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学信息资源研究中心,湖北武汉430072 [2]武汉大学信息管理学院,湖北武汉430072

出　　处：《现代情报》2019年第7期18-26,共9页Journal of Modern Information

基　　金：国家自然科学基金项目“创新2.0超网络中知识流动和群集交互的协同研究”(项目编号:71373194)

摘　　要：[目的/意义]从降低群体知识协作成本的视角出发提出链网式组织模式,在链网式下探究网络拓扑、网络规模、知识分享博弈对群体知识协作的影响。[方法/过程]从社会网络视角分析现有的创新组织模式,提出链网式组织形式。其次,采用多智能体建模仿真的方法从微观层面对知识型团队的知识协作过程进行模拟。最后,对不同影响因素设置实验,探究影响群体知识协作的机制。[结果/结论]网络类型对群集的知识协作绩效影响显著,最优匹配的不确定性明显降低团队知识协作的绩效。[Purpose/Significance]In order to reduce the cost of group knowledge collaboration,we proposed a linked network organizational model and explored the impact of network topology,network size and knowledge sharing game on group knowledge collaboration under the new organizational model.[Method/Process]We analyzed the existing mode of innovation organization from the viewpoint of social network and propose a new form of network,linked network.Secondly,the method of multi-agent modeling and simulation was used to simulate the knowledge collaboration process of knowledge-based teams at the micro level.Finally,we set up experiments on different influencing factors to explore the mechanisms that affect the knowledge collaboration among groups.[Result/Conclusion]We found that the type of network had a significant impact on the performance of group knowledge collaboration,and uncertainty of optimal matching significantly reduced the performance of group knowledge collaboration.

关 键 词：链网 知识协作 群集交互 多智能体仿真 

分 类 号：G250.2[文化科学—图书馆学]