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基于改进BA模型的作者合作加权网络动态演化研究

         

摘要

在考虑科研贡献度及BA模型网络特征的基础上,引入混合度择优连接规则、反择优衰退规则、分段随机概率连接规则,构建了解析网络演化机理的作者合作加权网络演化模型,利用平均场理论和连续介质理论对该网络演化模型的度分布和幂律指数等网络特征进行推导,并运用Matlab对不同初始条件下的网络演化过程进行仿真,结果表明作者合作加权网络的度分布具有“均匀与幂律双重混合分布”和“分段均匀分布”的特点,网络演化过程存在“路径依赖”,但是“不敏感依赖于网络初始形态”.同时以CNKI所收录的2009-2014年情报学领域CSSCI来源期刊的合作发文情况对作者合作加权网络演化过程中的网络度分布进行了验证,证实作者合作加权网络动态演化模型具有普适性和合理性.%Based on considering the contribution degree of scientific research and BA network characteristics,we introduce the degree of mixing preferential attachment rules,anti-preferential rules of recession,segmented random probability connection mechanism.Construction of the analytical network evolution mechanisms of author cooperation weighted network evolution model,using the mean field theory and the continuum theory of the evolution of the network model and the exponential distribution network characteristics derivation and use MATLAB to simulate network evolution process under different initial conditions,the results show that the degree distribution of the author cooperation weighted network has the characteristics of "uniform and power-law mixed distribution" and "piecewise uniform distribution",the existence of "path dependence" in the process of network evolution,but "not sensitive to initial conditions".The degree distribution of author cooperation weighted network evolution process,whichwas verified by the included CNKI 2009-2014 the Information Sciences field of cooperation issued CSSCI source journals.The results prove that the author cooperation weighted network evolution model is universal and reasonable.

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