【摘要】 现有复杂知识网络研究大多只关注网络结构的影响,而忽视网络中关系强度的作用.文中采用多主体建模与仿真方法,在分别具有小世界和无标度特征的复杂知识网络中,研究在5种变化策略下,动态关系强度对知识流动的影响.结果表明,依据不同策略改变主体间的关系强度,所得网络的知识流动效率(用网络平均知识水平和知识流动速度衡量)和知识分布的均衡性(用网络知识分布方差衡量)呈现出不同的变化规律,而且当关系强度变动概率取特定值时,复杂知识网络的知识流动表现出高流速、高平均知识水平和低知识分布方差的涌现特征.论文进一步分析了产生该涌现特性的机理,指出网络关系强度分布的指数衰减,对均衡状态下知识流动涌现特性的产生具有决定性影响.更多还原

【Abstract】 The influence of network structure was considered in the existing researches of complex knowledge networks,but the influence of relationship strength is often neglected.Based on multi-agent models and simulation methods,the influence of the dynamic relationship strength under five different varying policies on knowledge flow in complex knowledge networks with the characteristics of small world and scale-free is studied.The results show that the knowledge flow efficiency(measured by the average level of networks knowledge and the knowledge flow velocity) and equilibration(measured by the variance) present different laws with the changing of macro-distribution of relationship strength,and the complex knowledge networks represent emergence characteristics such as high velocity knowledge flow,high average knowledge level,and low knowledge distribution variance when the varying probabilities of relationship strength are with special values.Furthermore,the mechanism of the emergence characteristics is analyzed,and it is found that the exponential decay of relationship strengths distribution has crucial influence on the emergence of the knowledge flow emergence characteristics.更多还原