Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)

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Construction Method and Feature Analysis of Correlation Community Model for Scientific Researchers

Authors
Jin Lian1, Ming Gao2, *, Junfeng Chen1
1School of Artificial Intelligence , Jianghan University , Wuhan, Hubei, China
2Office of Network and Digital Construction , Jianghan University , Wuhan, Hubei, China
*Corresponding author. Email: gaoming@jhun.edu.cn
Corresponding Author
Ming Gao
Available Online 21 November 2024.
DOI
10.2991/978-94-6463-574-4_79How to use a DOI?
Keywords
reachable matrix; association; community
Abstract

This article analyzes some scientific research papers and author data of a certain organization, and uses the reachability matrix to construct a research community correlation model. The research community correlation model is a data model used to analyze the correlation and cooperation of a group of scientific researchers within an organization. From the establishment process and structure of the model, it is possible to obtain the cooperation between scientific researchers within the organization and its external cooperation. Based on the analysis of data in the past three years, the article obtains information such as the research team, research achievements, and internal correlation strength of each department, and analyzes the trend of changes and the problems that the data model can reflect. At the same time, the data structure of this model supports more dimensional statistics and calculations, effectively carrying out statistical analysis functions of traditional personal data portraits.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
21 November 2024
ISBN
978-94-6463-574-4
ISSN
2667-128X
DOI
10.2991/978-94-6463-574-4_79How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jin Lian
AU  - Ming Gao
AU  - Junfeng Chen
PY  - 2024
DA  - 2024/11/21
TI  - Construction Method and Feature Analysis of Correlation Community Model for Scientific Researchers
BT  - Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)
PB  - Atlantis Press
SP  - 698
EP  - 708
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-574-4_79
DO  - 10.2991/978-94-6463-574-4_79
ID  - Lian2024
ER  -