The Study Of Team Cooperation Network And Its Influence Under Complex Network View

As the increasing awareness of the nature of things,the scientific issues faced by scholars have become more complex and systematic.In the past,the scientific research methods with individuals as the main body of research have been replaced by teamwork.By researching the scientific research team as the main body of scientific research cooperation,it is crucial to promote scientific development and explore the essence of things.Based on “the characteristic analysis of information flowing behavior in the Internet of NSFC”(61373160),the thesis takes the cooperation network of research team as the research object,and analyzes the influence propagation in the network based on the heterogeneity of nodes and the strength of the relationship among nodes.According to the above research,the thesis proposes two kinds of research team influence evaluation method.The experimental simulation data originates from the project of Hebei science and Technology Department,which is “Research on the basic conditions and resources of science and technology,the statistical analysis and the development of the annual report system of the innovation platform”.The main work of the thesis is as follows:(1)Analysis of influence factors of influence communication behaviorStarting from the heterogeneity of nodes,the strength of node relations and the property of the network topology,it explores the diffusion of influence in the cooperation networks of research teams.The main influencing factors of node heterogeneity include subjective heterogeneity of nodes,the influence of the subjective judgment of scientific research team on the spread of influence;the heterogeneity of node field,that is the role of scientific research team's research field on the diffusion of influence;structural attributes which reflect the relationship between node importance and influence diffusion in network topology.The strength of the relationship between nodes is used to describe the degree of similarity between individuals in the research team cooperation network,and then reflects the role of node similarity on the impact of communication.(2)The establishment of an impact evaluation model based on the field heterogeneity and simulationBased on previous studies,a SIR simulation model based on node heterogeneity has been constructed to simulate the diffusion of influence.On this basis,node heterogeneity information is taken as the breakthrough point and integrating the node's network topology information,and then a model of the influence evaluation based on the heterogeneity of the area is proposed.The model takes into account the difference between nodes and the influence of network topology differences on the influence diffusion.It can measure the influence ability of the research team from the perspective of the field.(3)Proposed a method based on node similarity and community attribute influence measurementWe extract the node's content information and network topology information to empower the cooperation between research teams,and build an undirected weighted network of scientific research team.By analyzing the role of node community connectivity in the impact measurement and the effect of similarity on the influence propagation,we propose an evaluation method based on node similarity and community attribute.Finally,the thesis summarizes the contents of the full work and points out the shortcomings,and then prospects for future research.