A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents
Talent training is a critical issue of social development. Particularly, talent training in research-oriented universities plays a key role in human resources management. However, achieving effective talent development with minimal macro-regulation becomes a challenging problem that has yet to be so...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9991961/ |
| _version_ | 1797974439794573312 |
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| author | Zengke Jia Jiaxing Wang Rui Feng Yi Zhang He Zhu Lin Bai |
| author_facet | Zengke Jia Jiaxing Wang Rui Feng Yi Zhang He Zhu Lin Bai |
| author_sort | Zengke Jia |
| collection | DOAJ |
| description | Talent training is a critical issue of social development. Particularly, talent training in research-oriented universities plays a key role in human resources management. However, achieving effective talent development with minimal macro-regulation becomes a challenging problem that has yet to be solved. As an administrator, the allocation of talent project funding is a viable point of focus, although it is difficult to analyze due to the complex structure of the universities. Inspired by the complex networks, we model the academic talent training problem in universities as a multi-layer network in this paper, and the characteristics which may influence the development of faculty are investigated. Then, the development of each scholar is fitted by a growth curve in the life-course pattern, based on which a research funding allocation scheme is proposed from the perspective of human resources managers. In the proposed scheme, the funding quotas of multiple levels are allocated to different colleges at the proper time to obtain the global optimization of talent training for the whole university. The simulation results show that the proposed funding allocation scheme can improve the final academic ability and the normalized score of outstanding scholars compared with those of the traditional proportion-based allocation scheme. |
| first_indexed | 2024-04-11T04:19:59Z |
| format | Article |
| id | doaj.art-d9a6cd10203143d0a678fd0c19dc1280 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T04:19:59Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d9a6cd10203143d0a678fd0c19dc12802022-12-31T00:00:48ZengIEEEIEEE Access2169-35362022-01-011013406113407310.1109/ACCESS.2022.32304469991961A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of TalentsZengke Jia0Jiaxing Wang1https://orcid.org/0000-0003-3687-7595Rui Feng2Yi Zhang3He Zhu4Lin Bai5https://orcid.org/0000-0001-5705-0912Department of Human Resource, Beihang University, Beijing, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing, ChinaDepartment of Human Resource, Beihang University, Beijing, ChinaDepartment of Human Resource, Beihang University, Beijing, ChinaSchool of Cyber Science and Technology, Beihang University, Beijing, ChinaSchool of Cyber Science and Technology, Beihang University, Beijing, ChinaTalent training is a critical issue of social development. Particularly, talent training in research-oriented universities plays a key role in human resources management. However, achieving effective talent development with minimal macro-regulation becomes a challenging problem that has yet to be solved. As an administrator, the allocation of talent project funding is a viable point of focus, although it is difficult to analyze due to the complex structure of the universities. Inspired by the complex networks, we model the academic talent training problem in universities as a multi-layer network in this paper, and the characteristics which may influence the development of faculty are investigated. Then, the development of each scholar is fitted by a growth curve in the life-course pattern, based on which a research funding allocation scheme is proposed from the perspective of human resources managers. In the proposed scheme, the funding quotas of multiple levels are allocated to different colleges at the proper time to obtain the global optimization of talent training for the whole university. The simulation results show that the proposed funding allocation scheme can improve the final academic ability and the normalized score of outstanding scholars compared with those of the traditional proportion-based allocation scheme.https://ieeexplore.ieee.org/document/9991961/Multi-layer networksacademic talents traininglife-course patternresearch funding allocationresearch-oriented universities |
| spellingShingle | Zengke Jia Jiaxing Wang Rui Feng Yi Zhang He Zhu Lin Bai A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents IEEE Access Multi-layer networks academic talents training life-course pattern research funding allocation research-oriented universities |
| title | A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents |
| title_full | A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents |
| title_fullStr | A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents |
| title_full_unstemmed | A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents |
| title_short | A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents |
| title_sort | research funding allocation scheme in multi layer networks for the growth of talents |
| topic | Multi-layer networks academic talents training life-course pattern research funding allocation research-oriented universities |
| url | https://ieeexplore.ieee.org/document/9991961/ |
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