Network in cooperation of industry-university and research institute is the organization which industries,universities and research institutes in order to meet their respective needs to cooperate based on some social contacts,trust and share complementing resource.The organization has the features and basic structure of social network.From the perspective of complex network and make the joint patent data of Shandong as the example,the paper abstracted the industries,universities and research institutes as nodes and if they had joint applied patent then there has an edge between them,based on the nodes and edges we constructed the real network.Through research on the statistics characters,such as density,degree distribution and average path length,we found that the network is composed of many connected components,cooperative level is low,but the knowledge spread fast and efficient in one component,and the network has the characteristic of scale-free.From the perspective of node failure and edge failure to study the robustness of the network,we found that the network when faced randomly deleted nodes or edges and edge betweenness preferred deleted edge has high robustness,while the network when faced node degree preferred deleted nodes and node betweeness preferred deleted nodes is very fragile.From the perspective of complex network together with the patent data of Shandong province in China,a novel evolutionary game model on patent cooperation network is presented.Two sides in the game model are industries and universities & research institutes respectively.The cooperation is represented by a connection when a new patent is developed together by the two sides.The optimal strategy of the evolutionary game model is quantified by the average positive cooperation probability and the average payoff.The feasibility of this game model is simulated on the parameters such as the knowledge spillover,the punishment,the development cost and the distribution coefficient of the benefit.The numerical simulations show that the cooperative behaviors are affected by the variation of parameters.The knowledge spillover displays different behaviors when the punishment is larger than the development cost or less than it.Those results indicate that reasonable punishment would improve the positive cooperation.The appropriate punishment will be useful to enhance the big degree nodes positively cooperate with industries and universities & research institutes.And an equitable plan for the distribution of cooperative profits is half-and-half distribution strategy for the two sides in game. |