摘要
目的:本文提出一种基于CI(Contain Influence)值的牵制控制模型,并通过该模型确定复杂社团网络的牵制点集合。方法:通过对动态在线复杂社区网络拓扑特性的分析,设计了一种新的节点牵制力指标-CI值,并据此建立基于CI值的牵制控制模型。结果:仿真实验表明,所得到的牵制点集合准确性更高,牵制点个数更少。结论:基于节点影响力的动态复杂社区牵引控制模型,实验应用结果准确、有效。
Objective：A pinning control method based on CI value（Contain Influence）is presented.The model is used to determine the set of pinned nodes of complex community networks.Methods：Based on the analysis of the topological characteristics of the dynamic online complex community network,a novel node pinning force index CI value is designed,and the pinning control model based on CI value is established.Results：The simulation results show that the accuracy of the pinned set is higher and the number of pinning points is less.Conclusion：Pinning Control Model of Dynamic Complex Community Based on Contain Influence.The application results are accurate and effective.
作者
张德成
王杨
黄少芬
赵晨曦
王娜
许闪闪
赵传信
ZHANG Decheng1 , WANG Yang2 , HUANG Shaofen2, ZHAO Chenxi2 , WANG Na2,3 , XU Shanshan2, ZHAO Chuanxin2(1. School of Basic Courses, Bengbu Medical College, Bengbu 233000,China; 2. School of Mathematics and Computer Science, Anhui Normal University, Wuhu 241000, China; 3. Department of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, Chin)
出处
《安徽科技学院学报》
2018年第1期78-85,共8页
Journal of Anhui Science and Technology University
基金
安徽省社科规划项目(AHSKY2017D42)
安徽省高校优秀青年人才基金项目(2009SQRZ127)
安徽省高校人文社会科学研究重大项目(SK2014ZD033)
安徽省自然科学基金项目(1708085MF156)
安徽省教育厅自然科学研究项目(KJ2017A552)
蚌埠医学院科研项目(BY0839)
关键词
复杂社区
牵制控制
节点影响力
结构社团
Complex community
Pinning control
Contain influence
Structure community
