Analysis And Application Of Scientific Research Social Network Based On Knowledge Graph

In the scientific research of colleges and universities,a large number of scientific research achievements emerge in the form of monographs,papers,projects and so on.Efficient achievement management is of great significance to the development of basic scientific research in all aspects.The research on the cooperative network of scientific researchers plays a very important role in the management of scientific research achievements in colleges and universities.It can not only help users understand the overall development trend of scientific researchers,but also help the scientific research achievements management system to make decisions on academic research and allocate resources.Therefore,aiming at the phenomenon that the cooperative network construction of university researchers is not perfect,this paper puts forward a cooperative network construction method which is in accordance with the actual situation of universities and colleges,and applies it.In this paper,through the method of multi-module data fusion,combined with the knowledge graph and complex network related algorithms,as well as the data stored in My SQL,Redis and other databases over the years,completed the development and implementation of the scientific research achievements system based on the knowledge graph and complex network scientific research personnel cooperation part.The main work of this paper is as follows:1.On the basis of the existing algorithm,this paper proposes a method of scientific research personnel cooperation network model based on the actual value of scientific research achievements of university researchers,and according to the time index smoothing construction in accordance with the actual situation of university researchers;2.On the basis of the cooperative network of scientific researchers,this paper uses different algorithms to divide the community of scientific researchers in our university,and evaluates the results of community division;The importance of researchers in complex networks is evaluated.In link prediction,this paper proposes a method that combines the similarity matrix with the adjacency matrix of researchers’ cooperative network,which can be used to recommend users or complete the missing cooperative relationship of researchers in the past.3.At last,in order to improve the efficiency of the whole process,the complex network as knowledge graph is stored in the graphic database Neo4 j,back-end code should be packaged and released to the Tars framework,front end with vue3.0 + d3,designed the system platform with visual interface,and can display the personal information of scientific research workers and different partnership.Based on the knowledge graph and complex network of scientific research system,scientific research personnel cooperation part,the design of system integration,ease of maintenance personnel for service regulation,high degree of visualization,platform good compatibility,and high expansibility,for subsequent about lays a foundation for the further study of the cooperative relationship.