Dynamic Formation Method Of Scientific Research Team Based On Behavior Analysis

As a knowledge-intensive organization,the most important feature of a research team is to acquire,create,and disseminate knowledge,and to provide customized services as the main value-added activity of the organization.In addition to the above characteristics,the scientific research team,especially the scientific research team in universities,also has an extreme feature of high freedom.This freedom is expressed in goals,processes and teams.It is uncertain and innovative,but it also gives the scientific research team There are many difficulties in the formation,management and operation.The formation of the scientific research team is mostly based on the manager who chooses members to form a team subjectively to complete a project;the management of the scientific research team is also mostly an apprenticeship.This has led to problems such as poor cooperation and coordination among members of the scientific research team,and ultimately affected the efficiency and level of knowledge innovation of the scientific research team.Therefore,based on the collaborative network theory,this paper analyzes the dynamic organizational behavior characteristics of the scientific research team,builds a scientific research behavior model to collect the behavior data generated by the scientific research team during the research process,and then proposes the scientific research team based on the analysis and construction of scientific research relationship strength and knowledge matching model The dynamic formation model provides auxiliary decision-making for the formation and management of the scientific research team.The main contents of this study are as follows:(1)Analyze the dynamic characteristics of scientific research teams based on the collaborative network theory:Through the method of literature reading,the knowledge-intensive organization of scientific research teams is analyzed based on the collaborative network theory,which provides a new method for analyzing the dynamic organizational behavior characteristics of scientific research teams At the same time,it laid the foundation for follow-up research.(2)Collection of scientific research behavior data:Based on the knowledge collaboration theory and related literature on scientific research behavior,combined with the above analysis of the dynamic organization behavior characteristics of scientific research teams based on the collaborative network theory,the scientific research behavior in this paper is defined and analyzed,and constructed Scientific research behavior collection model,and then use this model to collect data.(3)Scientific research relationship strength model among scientific research team members:Based on the definition and calculation method of the relationship strength in the social network,the scientific research relationship strength is defined.The scientific research relationship in this article refers to the academic relationship and trust relationship;Behavioral data is used to calculate the strength of the scientific research relationship to obtain the strength of the relationship between members.(4)Member knowledge matching model for dynamic research topics:This part selects the appropriate members based on the degree of matching between the research basic knowledge possessed by the members and the knowledge required by the research topics.By using LDA topic modeling to convert knowledge data into vector data and calculate the similarity between them,knowledge matching can be achieved.(5)Dynamic formation of scientific research team:comprehensively consider the knowledge matching degree of members and research topics and the strength of scientific research relationship between members to realize the dynamic formation of scientific research teams.