Research on Internet Topology Evolution and the Fractal of Average Degree of Nodes
ZHANG Wen-bo1,2, ZHAO Hai2, SUN Pei-gang2,3, XU Ye2, ZHANG Xin2
1. School of Information Science and Engineering,Shenyang Ligong University,Shenyang,Liaoning 110168,China;2. School of Information Science and Engineering,Northeastern University,Shenyang,Liaoning 110004,China;3. Shenyang Artillery Academy,Shenyang,Liaoning 110162,China
Abstract：In view of the complex network character of Internet,the computing result of the relation of Internet standard entropy with time shows that Internet evolves from low level order to high level one.Furthermore,the order parameter was also obtained by computing according to the synergetics theory.However,the time series data of average nodes degree were reconstructed in phase space.The fractal dimension,maximum Lyapunov parameter and Kolmologorov entropy were also computed.The predictable time scale of the serial data was get from the above computation.Finally,in means of the analytical results,the time series data were preprocessed,and the average nodes degree of Internet in near months was predicated by means of chaos predicting.
张文波;赵海;孙佩刚;徐野;张昕. 因特网拓扑演化及其节点平均连接度的分形研究[J]. 电子学报, 2006, 34(8): 1438-1445.
ZHANG Wen-bo;ZHAO Hai;SUN Pei-gang;XU Ye;ZHANG Xin. Research on Internet Topology Evolution and the Fractal of Average Degree of Nodes. Chinese Journal of Electronics, 2006, 34(8): 1438-1445.
2006, Vol. 34 
