Paper Info
Title
A Group Recognition Method of Scientific and Technological Personnel based on Relational Graph
Abstract
The key problem in the fine management of science and technology is to model the behavior characteristics of scientific and technical personnel and then find groups through various related cooperative relationships. Aiming at the analysis of team relationship of scientific and technical personnel data, this paper proposed a method to recognize the group of scientific and technological personnel based on relational graph. The relationship model of scientific and technological personnel was designed, and based on this, the relational graph was constructed with the relationship identification and extraction from source data. A frequent item mining algorithm based on Hadoop was proposed, which enabled getting the group of scientific and technological personnel by mining and analysis of data in relational graph. In this paper, the proposed method was experimented on both open and private data sets, and compared with several classical algorithms. The results showed that the method proposed in this paper has a significant improvement in execution efficiency.
Year
DOI
Venue
2020
10.1109/ICSS50103.2020.00017
2020 International Conference on Service Science (ICSS)
Keywords
DocType
ISBN
relational graph,data analysis of scientific and technological personnel,group recognition
Conference
978-1-7281-8532-3
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Zhuohao Wang100.68
Dongju Yang200.34
Hanshuo Zhang301.01