The Empirical Research On The Evolution Mechanism Ofthe Complex Technology Trading Network

Almost all kinds of complicated system existing in the nature can be described by different networks.Complex networks theory is derived from the graph and it is one of the most effective tools to study of complex systems at present.Technology transaction can be treated as complex system because of its complexity of trading activity,but till now,the study of technology trading is still staying on simple statistical analysis,and there is little research on its features as a complex system.So this paper will introduce the theory of complex network combined with technology trading behavior of technology trading network structure characteristics and its evolution mechanism and mainly research on the following three aspects:Set up the complex technology trading network and analyzes its topological properties.The process of building complex technology trading network mainly maps the main body of technology to nodes of complex network,and the process of technology trading to edges of complex network.After completing the above steps we can get a complex technology trading network and extract the topological characteristics such as network degree distribution,aggregation coefficient,average path length,the number of betweenness-points,and diameter to represent complex network technology trading of every period of time.Look for the law of similarity calculation compared with other network that can more accurately represent the network characteristics.Establish feature vector with network characteristics that extracted by the last step,then calculate the distance between different vectors that formed by characteristics of complex network technology trading.The closer between two vectors,the more similar they are.This work also includes demonstrating whether the similarity calculation method is feasible.Analyze the evolution mechanism of complicated technology network.Use several common complex network model(such as small-world model,scale-free complex network model and stochastic model which generate the complex network)for the simulation of technology trading data,compare the network generated before with the real complex technology trading network using the similarity calculation method that mentioned before to find the most similar simulation network with the actual network.We think that the generation model is closer to the formation model of complex technology trading network.This paper combines the empirical method with simulation method,based on the characteristics and network topology evolution mechanism to analyze its impact on technology trading activities.Analyze evolution mechanism of the complex technology trading network through the empirical analysis and simulation results in order to guide technology trading by its behavior and assist the decision-making of government.The development of network technology trading is a slow gradual process,that is from a simple irregular way of collaborative division of labor to the direction of an orderly,integration and net structure.Grasp the evolution mechanism of the network technology trading.In this paper for complex technology trading network topology characteristics and evolution mechanism research is used to make some significance for prediction of technology transfer results and to facilitate the effective intervention and auxiliary technology trading activities,which may also help the government with decision-making,help to build regional technology trading joint group which is conducive to deepening the technology trade exchanges and cooperation between different regions,deepening cooperation study and so on.