基于CAS理论的网络社群知识涌现机制及管理启示  

Knowledge Emergence Mechanism and Management Enlightenment of Network Community based on CAS Theory

作　　者：金福[1] 王媛媛 Jin Fu;Wang Yuanyuan(College of Management,Shenyang Normal University,Shenyang Liaoning 110034)

机构地区：[1]沈阳师范大学管理学院,辽宁沈阳110034

出　　处：《沈阳师范大学学报（社会科学版）》2022年第4期67-73,共7页Journal of Shenyang Normal University(Social Science Edition)

基　　金：辽宁省教育厅科学研究基金项目(WJC2020-06)。

摘　　要：基于Folksonomy知识组织模式中领域知识群落自组织状态下的知识衍生、交叉、融合等问题的研究,选取时间变量探索领域知识系统的复杂网络知识涌现条件,揭示领域知识系统涌现规律具有重要意义。研究结果表明:社群自组织系统的知识涌现动力机制可视为标注行为、Hub涌现和结构多元三主体间螺旋式上升、相互协同共进的自适应过程,社群自组织系统是一个复杂自适应的知识系统,只要社群领域知识系统满足多元化要素频繁相互作用,对外部环境进行信息的自组织与自适应动态交换,领域知识系统中的要素就会由无序向有序衍生,最终形成有序的协同状态产生知识涌现。The study takes the knowledge derivation,intersection,and fusion of domain knowledge communities in the self-organizational state of the Folksonomy knowledge organization mode as the object,and examines the complex network knowledge emergence conditions of domain knowledge systems by selecting temporal variables,which are important for revealing the emergence pattern of domain knowledge systems.The research findings indicate that the community self-organizing system's knowledge emergence driving mechanism can be viewed as an adaptive process in which the three subjects of labeling behavior,Hub emergence,and structural pluralism spiral upwards in synergy with each other and that the community self-organizing system is a complex adaptive knowledge system.As long as the community domain knowledge system satisfies the frequent interactions of diverse elements,and adaptive dynamic exchange of information with the external environment,the elements in the domain knowledge system will evolve from disorder to order,eventually forming an orderly synergistic state to produce knowledge emergence.

关 键 词：知识社区 FOLKSONOMY 网络社群知识 知识涌现 自组织系统 复杂网络系统 

分 类 号：G203[文化科学—传播学]