基于改进BA模型的作者合作加权网络动态演化研究

发布时间：2018-04-22 16:09

  本文选题：加权网络 + 作者合作　； 参考：《情报学报》2017年01期

【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。
[Abstract]:On the basis of the contribution degree of scientific research and the network characteristics of BA model, the author introduces a cooperative weighted network evolution model for the analytic network evolution mechanism by introducing the mixed degree selection rule, the anti preferential decline rule and the piecewise random probability connection rule, and using the mean field theory and the continuous medium theory to the degree distribution of the network evolution model. The network features, such as power law index and other network features are derived, and the network evolution process under different initial conditions is simulated with Matlab. The results show that the degree distribution of the author's cooperative weighted network has the characteristics of "uniform and power law dual distribution" and "piecewise uniform distribution". The network evolution process has "path dependence", but "insensitive dependence" At the same time, the network degree distribution in the evolutionary process of the author's cooperative weighted network is verified by the cooperation and dispatch of the CSSCI source journal in the field of 2009-2014 years of information science included in CNKI. It is proved that the author's cooperative weighted network dynamic evolution model is universal and reasonable.

【作者单位】： 华中师范大学计算机学院;武汉大学中国科学评价研究中心;
【基金】：国家社科基金重大项目“基于语义的馆藏资源深度聚合与可视化展示研究”(11&ZD152)
【分类号】：G353.1
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本文编号：1787944