Clustering Coefficient Research Based On The Network Models Of Polymer Melts

Polymer melt is widely used in the production process of plastic,rubber and fiber According to the previous studies.polymer melts have a high molecular structure,and transient network structure is formed between polymer chains,which indicates that polymer melts can be seen as a changing complex network system.Previous researchers have proposed two types of evolution network models.one is non-growth while the other is growth. They have studied the degree distribution of the two models in the theoretical calculations and numerical simulation respectivelyIn this paper.we have studied clustering coefficient of the complex network according to the above two different modeIs.We word out the equations of the clustering coefficient and do the corresponding numlerical simulation.During the course of Study.we extend the group struture of the growth model.which made the experimental results can be applicd to other network systems with similar structures.such as the friengship and interest networks. We also propose a new algorithm of clustering coefficient.which have greatly improved the computational efficiency.Our study provides a reasonable basis for the further development of the manufacturing technique of polymer metlts,and provide a basis for the application in the real networks of the complex network theory.