摘要
百度知道是一个复杂适应系统,可以利用多主体系统方法对其进行研究。在对百度知道进行复杂适应系统分析的基础上结合Netlogo软件特点,建立了百度知道信息发展过程模型,对资源发展与用户激励的互动关系,资源发展与用户数量的关系和不同激励水平用户的互动关系进行了仿真和研究。得出结论:初始用户数、新增用户数量影响了系统的演化过程,但不影响系统的稳定状态;激励值、问题再生率和潜在用户数量影响了系统中用户和问题数量发展;不同激励值用户的发展与最大用户数、问题再生率等因素相关。
Baidu Knows is a complex adaptive system,we can use MAS method to study it.This paper constructs the information development process model of Baidu Knows in combination with Netlogo software features based on the complex adaptive system analysis to Baidu Knows,then the interaction between resources development and users incentive,the relationship between resources development and users number,and the interaction among different incentive level users are all simulated and analyzed.The conclude is： The initial users number and the new users energy affect the evolutionary process of the system but have no effect on the stable state of it;The incentive value,the problem regeneration rate and the users number influence the user and problem development of the system;The development of different incentive value users is related to the maximum users number and the problem regeneration rate.
出处
《远程教育杂志》
CSSCI
2012年第2期91-97,共7页
Journal of Distance Education
基金
教育部人文社会科学资金"信息技术促进教育资源区域共享研究(10YJCZH187)"
中央高校基本科研业务费专项资金"网络技术支持下的教育信息资源优化配置研究(CCNU11B02002)"
湖北省社科基金"网络再生教育信息资源生态发展与利用研究(11ybb175)"的阶段性成果
关键词
百度知道
资源发展
用户发展
激励
Baidu Knows
Resources Development
Users Development
Incentive
