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.
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)
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)。
