一种基于距离偏好连接的网络演化模型  

A Network Evolution Model Based on Distance-Preference Connections

作　　者：应君 严传魁 

机构地区：[1]温州大学数理学院,浙江 温州

出　　处：《应用数学进展》2024年第5期2373-2379,共7页Advances in Applied Mathematics

摘　　要：考虑到现实网络的实际情况以及BA无标度网络模型不能展现真实网络的高聚类特性,本文提出了一个带调节参数的基于距离偏好连接的网络演化模型。通过仿真实验显示,模型的度分布不再遵循无标度分布,而是满足负指数分布,并且通过调节距离因素依赖程度参数的数值,可以调整网络模型的聚类系数,从而获得具有更高聚类性质的网络模型,更贴近真实网络的特征。Taking into account the actual situation of real networks and the inability of the BA scale-free network model to capture the high clustering characteristics of real networks, this paper proposes a distance-preference based network evolution model with a tunable parameter. Through simulation experiments, it is shown that the degree distribution of the model no longer follows a scale-free distribution, but instead follows a negative exponential distribution. By adjusting the value of the distance-preference dependence parameter, the clustering coefficient of the network model can be adjusted, thus obtaining a network model with higher clustering properties that is more closely aligned with the characteristics of real networks.

关 键 词：复杂网络 演化机制 度分布 聚类系数 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]