科学知识网络的演化模型  

Evolvement model for scientific knowledge networks

作　　者：马费成[1] 刘向[1,2] 

机构地区：[1]武汉大学信息资源研究中心,武汉430072 [2]华中师范大学信息管理学院,武汉430079

出　　处：《系统工程理论与实践》2013年第2期437-443,共7页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金重点项目(70833005);国家自然科学基金(71003078)

摘　　要：针对科学知识网络的演化规律及动力问题,建立了科学知识网络的演化模型.模型构建了基于局域世界的增长网络,通过引入跨领域交叉连接、度择优连接和时间优先连接三种连接机制以反映科学知识的集聚和交叉、继承和发展的关系.其中跨领域交叉既形成一定集聚拓扑结构又满足学科知识交叉引用的要求,度择优机制保证对经典科学理论的继承,时间优先机制则促使对最新知识的吸收和发展.数理分析和实验模拟表明度择优的作用是全局性的,而时间优先连接机制的作用是局部的,模型的拓扑特征与实际统计具有较好的一致性.For the study of evolvement and dynamics of scientific knowledge, an evolvement model of scientific knowledge networks was constructed. By considered of the independent and crossing connection among different subjects, the model introduced three kinds of attachment strategies： local-world crossing attachment, preferential attachment of indegree, preferential attachment of time. Preferential attachment of in-degree could represent the inhabitation of classical scientific theories; preferential attachment of time showed the promotion of absorbing new knowledge, local-world crossing attachment presented topology of clustering character and satisfies the demand of inter-filed permeating. The simulation shows that the effect is global of the indegree preferential attachment and partial of the time-preferential attachment.

关 键 词：科学知识 演化网络 时间效应 局域世界 模型 

分 类 号：G20[文化科学—传播学] N94[自然科学总论—系统科学]