Dynamic Self-Similar k_(c)-Center Network Based on Information Dissemination  

作　　者：王丽 张旭毅 姚亚兵 尉雪龙 WANG Li;ZHANG Xuyi;YAO Yabing;YU Xuelong(Library,Northwest Normal University,Lanzhou 730070,China;Department of Criminal Science and Technology,Henan Police College,Zhengzhou 450046,China;School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China;School of Computer Science and Engineering,Northeastern University,Shenyang 110169,China)

机构地区：[1]Library,Northwest Normal University,Lanzhou 730070,China [2]Department of Criminal Science and Technology,Henan Police College,Zhengzhou 450046,China [3]School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China [4]School of Computer Science and Engineering,Northeastern University,Shenyang 110169,China

出　　处：《Journal of Shanghai Jiaotong university(Science)》2024年第3期480-491,共12页上海交通大学学报（英文版）

基　　金：the National Natural Science Foundation of China (No.62062010);the Program for the Science and Technology Planning Project of Guangxi (No.AD19245101);the Program for the Longyuan Youth Innovation and Entrepreneurship Talent Team Project of Gansu (No.2021LQTD24)。

摘　　要：This study mainly focused on the dynamic self-similar k_(c)-center network as a result of information distribution through social networks.Individual attraction with various preferences was characterized in the model as a result of reciprocal attraction among individuals and human multi-attribute.Additionally,the model incorporated the community network structure and network evolution mechanism,and a dynamic self-similar k_(c)-center network generation model was presented.Compared with the classical scale-free network generation algorithm,the generated network embodied not only the characteristics of the small-world and scale-free,but also the characteristics of dynamic self-similar k_(c)-center network.The experimental results were verified by comparing the real data with the experimental data.The results showed that there are dynamic self-similar k_(c)-center networks and their internal network relationship dynamics in the micro scale,meso scale and global perspective based on information dissemination.

关 键 词：edge state evolutionary network SELF-SIMILARITY ke-center network 

分 类 号：TP273.3[自动化与计算机技术—检测技术与自动化装置]