为了揭示科学合作的内在的性质,联网,一个科学合作网络上的一个新本地世界的进化模型被分析网络生长机制建议。优先的附件的测量被拿,并且节点的本地世界的信息被考虑的行为度。分析和模拟证明节点度和节点力量服从幂定律分发。低平均路径长度和高聚类系数被同意。实验显示模型能高效地描绘拓扑的结构和真实科学合作网络的统计特征。
In order to reveal the intrinsic properties of scientific collaboration networks, a new local-world evolution model on a scientific collaboration network is proposed by analysing the network growth mechanism. The act degree as the measurement of preferential attachment is taken, and the local-world information of nodes is taken into account. Analysis and simulation show that the node degree and the node strength obey the power-law distribution. Low average path length and high clustering coefficient are approved. Experiment indicates that the model can depict efficiently the topological structure and statistical characteristics of real-life scientific collaboration networks.