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From biosystem to complex system,the study of life is always an importantarea. Inspired by hyper-cycle theory about the evolution of non-life system, westudy the metabolism, self-replication and mutation behavior in the Internetbased on node entity, connection relationship and function subgraph--motif--ofnetwork topology. Firstly a framework of complex network evolution is proposedto analyze the birth and death phenomena of Internet topology from January 1998to August 2013. Then we find the Internet metabolism behavior from angle ofnode, motif to global topology, i.e. one born node is only added into Internet,subsequently takes part in the local reconstruction activities. Meanwhile thereare nodes' and motifs' death. In process of the local reconstruction, althoughthe Internet system replicates motifs repeatedly by adding or removing actions,the system characteristics and global structure are not destroyed. Statisticsabout the motif M3 which is a full connectivity subgraph shows that the processof its metabolism is fluctuation that causes mutation of Internet. Furthermorewe find that mutation is instinctive reaction of Internet when it's influencedfrom inside or outside environment, such as Internet bubble, social networkrising and finance crisis. The behaviors of metabolism, self-replication andmutation of Internet indicate its life characteristic as a complex artificiallife. And our work will inspire people to study the life-like phenomena ofother complex systems from angle of topology structure.

Research on Life Characteristics of Internet Based on Network Motifs