[Purpose/Significance] Under the background of the US technology against China and talent blockade policy, the virtual scientific research team finds that from the perspective of intelligence research, it provides references and key data support for identifying potential cooperation objects, discovering scientific research teams with substantial potential, and forming a team and optimizing the structure, which has important theoretical and practical application value. [Method/Process] This study selected NIH-funded research papers, conference papers and reviews in the field of critical care medicine from the Scopus database from 2012 to 2021, introduced and improved the modularity-based Louvain algorithm in community identification research, and based on the closeness characteristics of author cooperation in the scientific research output co-authorship network of scientific researchers in a specific cross-scientific field, this paper initially identified of virtual scientific research teams; Then, combined with vector space model, simulated annealing algorithm and parallel computing, respectively, it further optimized the iterative process of author partnership characterization and refinement algorithm, through optimization matrix calculation and matrix input, it improved the effect and efficiency of virtual scientific research team identification; Finally, the identification results of GN algorithm and spectral clustering algorithm were compared to verify the effectiveness of the improved Louvain algorithm to identify virtual scientific research teams. [Result/Conclusion] In the calculation of large-scale author-author relationship matrix, it is ideal to use the improved Louvain algorithm to identify virtual scientific research teams in specific fields, it is manifested in the following three aspects. First, the contribution of authors to papers in information science research is fully considered, to improve the identification effect of the scientific research team. Second, by optimizing the matrix input, refining the local modularity calculation and increasing the parallel calculation, the operation time is effectively reduced, and the recognition efficiency is improved. Third, the identification results of the virtual scientific research team provide a reference for the discovery of potential partners.
Lü Qianqian
,
Tan Zongying
. Research on the Identification Method of Virtual Scientific Research Team——Taking the Field of Critical Care Medicine as an Example[J]. Library and Information Service, 2022
, 66(15)
: 97
-106
.
DOI: 10.13266/j.issn.0252-3116.2022.15.010
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