Evolving Analysis Of Cooperation Networks Based On Theoretical Model

The study of complex networks is a new area of in many practical or theoretical studies. It has the interaction of the basic unit within the system simply expressed by empowered or not empowered edges from empowered or not empowered nodes, then it studies the relationship between nodes and edges and the evolution of model in further extent. Since the end of 20th century, complex networks have penetrated in many different areas including mathematical sciences, life sciences, engineering sciences and so on.This paper studies the theoretical model in two aspects based on cooperation networks.Firstly, in the reference of BA model and the PDP model, we establish a three-network model of community actors which establishes the priority connection with the growth of actor. It is similar to the BA model. However, the new cooperation between old actors and new actors is not so ideal as the BA model, because they may be affected by other factors, such as the impact of the new actors degree e, the relationship between old and new actors, subjective sense of company leaders etc. they can affect the new actors to join, thereby influencing the development trend of networks by affecting the network parameters. In addition, by making a prediction of the future Chinese film market, we find that it will tend to track the development of uniform with the rapid development of film industry.Secondly, we analyze their features and discuss their differences of social cooperation networks and generalized collaboration networks from the perspective of degree distribution, degree distribution project, assortativity coefficient ect. as the example of Chinese actor cooperation networks and Chinese proprietary networks.Finally we find that social cooperation network is more concerned about the interaction and contact among people, while general collaboration network is a special network of cooperation which has different types of performance between the nodes that concerned about the popularity of social cooperation network. It covers widely such as the U.S. electric power networks, neural networks, marine food webs and so on. In 2002, Newman developed another important statistical network parameter which is called "assortativity coefficient "and expressed as r. He indicates that community structure and selection probability p have a certain impact on cooperation networks in his research.