百度知道中网络信息资源与用户发展的仿真研究

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。

The Simulation Research on Network Information Resources and Users Development in Baidu Knows

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.