Abstract
In this paper, we adopt social network analysis technology to construct the working network of the scientific research personnel, working in the isolated network environment of a military research institute, based on the integrated edge data obtained by processing three groups of work records including emails, meetings and travels, and then we complete the calculations of indicators including Degree centrality, Closeness centrality, Betweenness centrality and Eigenvector centrality. Finally, we evaluate the performance of scientific research personnel, explore the working relationship between them, and find out who is working abnormally, which provides a new method for staff appraisal.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
