基于CAS理论的群体协作维基词条编辑建模仿真

基于复杂适应性系统理论将维基百科用户抽象为内容添加者、内容修改者、内容删除者、多样编辑者和内容浏览者5种主体,建立了群体协作词条编辑模型;基于不同质量词条主体出现的概率配置,利用Netlogo仿真软件构建仿真平台,实现了对群体协作词条编辑的多主体建模仿真.仿真实验表明,多样编辑者是词条质量提升的重要驱动力,其出现概率越大,生成词条质量越高;编辑者“自我修改”行为对提升词条质量起到重要促进作用;主体出现概率配置遵循黄金分割律时,可使群体绩效趋于最大化.词条演化存在语量与语义之间此消彼长、最终达到动态平衡的过程,语量与语义平衡临界点近似为黄金分割点,词条编辑演化遵循着黄金分割律.研究深化了对词条编辑演化、网络群体智能和社会计算的认识.

Model and Simulation of Collective Collaboration Article Edit in Wikipedia Based on CAS Theory

Wikipedia users were classified into five agents,including content creator,content modifier,content cleaner,diverse editor and content visitor,and a collective collaboration article edit model was established based on the complex adaptive system theory.The multi agent simulation of collective collaboration article edit was achieved by using Netlogo software based on the configuration of agent appearance probabilities of different quality articles.Simulation results show that diverse editor is an important driving force for the improvement of article quality;the bigger the appearance probability of diverse editors is,the higher the article quality is.The self modifying behavior of editors plays an important role in promoting article quality.When the configuration of agent appearance probabilities follows the golden section law,the collectiveperformance can tend to be maximum.There exists a process from seesaw like complementarity to dynamic balance between word quantity and word meaning,the critical point of balance is close to the golden section point,and the article edit evolution follows the golden section law.The research deepens the knowledge of article edit evolution,web collective intelligence and social computing.