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Dynamic Self-Similar kc-Center Network Based on Information Dissemination

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This study mainly focused on the dynamic self-similar kc-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 kc-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 kc-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 kc-center networks and their internal network relationship dynamics in the micro scale,meso scale and global perspective based on information dissemination.

edge stateevolutionary networkself-similaritykc-center network

王丽、张旭毅、姚亚兵、尉雪龙

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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

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National Natural Science Foundation of ChinaProgram for the Science and Technology Planning Project of GuangxiProgram for the Longyuan Youth Innovation and Entrepreneurship Talent Team Project of Gansu

62062010AD192451012021LQTD24

2024

10.1007/s12204-022-2559-6

上海交通大学学报(英文版)
上海交通大学

上海交通大学学报(英文版)

影响因子：0.151
ISSN：1007-1172
年,卷(期)：2024.29(3)