基于序排列的钝化网络模型研究

The research of deactivation network model based on the rank

近年来随着复杂网络的不断发展,人们对于复杂网络动力学机制的研究也越来越细致、接近实际网络。传统的老化网络模型考虑了绝对的入度偏好钝化;然而在现实网络中,入度的相对信息更加容易获得。因此,考虑了基于节点入度排序的钝化网络模型,给出了该网络模型入度分布的理论解析解;并且通过对该网络模型进行数值模拟得到了一致的结果。

In recent years,with the continuous development of complex network,the study of the complex network dynamics mechanism is becoming more and more careful and close to the actual network. Traditional aging network model takes into account the deactivation mechanism based on the absolute in-degree. However,in the actual network,the relative information of in-degree is more readily available. Therefore,this paper considers the deactivation network model based on the rank of node＇s in-degree,gives the theoretical analytic solution of the degree distribution,and gets the consistent results by the theoretical calculation and numerical simulation.