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A Complex Network Evolution Model Based on Microscopic Characteristic of Nodes

机译:基于节点微观特征的复杂网络演化模型

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Many studies on complex networks have relied on the precise construction of network evolution models. Most complex network evolution models tend to focus globally on the topological statistics of the network while ignoring the microscopic behavior and characteristics of the nodes. In this study, we focused on a typical complex network (online social network), defined the concept of a node domain vector and its suitability, and considered the information propagation in the Local-World region of nodes in the network evolution process from the perspective of the microscopic characteristics of the nodes. Moreover, we developed a complex network evolution model. In the edge evolution process, the propagation activity between the source and the target node along with the domain suitability affected the selection of the edge to the target node. This in turn brought the evolutionary process of the entire network more in line with a real-world network. Through simulation experiments, the rationality and accuracy of this evolution model in a variety of network topological and statistical feature dimensions were verified; these parameters fit the topological characteristics and the evolution process of real-world complex networks relatively well.
机译:关于复杂网络的许多研究都依赖于网络演化模型的精确构建。大多数复杂的网络演化模型倾向于全局地关注网络的拓扑统计,而忽略节点的微观行为和特征。在这项研究中,我们集中于典型的复杂网络(在线社交网络),定义了节点域向量的概念及其适用性,并从网络演化的角度考虑了节点在本地世界区域中的信息传播。节点的微观特性此外,我们开发了一个复杂的网络演进模型。在边缘演化过程中,源节点和目标节点之间的传播活动以及域的适用性影响了边缘到目标节点的选择。反过来,这使整个网络的演进过程更加符合现实网络。通过仿真实验,验证了该演化模型在各种网络拓扑和统计特征维度上的合理性和准确性。这些参数相对于现实世界的复杂网络的拓扑特征和演化过程而言比较合适。

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