Skill ranking of researchers via hypergraph

Xiangjie Kong; Lei Liu; Shuo Yu; Andong Yang; Xiaomei Bai; Bo Xu

doi:10.7717/peerj-cs.182

Skill ranking of researchers via hypergraph

PeerJ Comput Sci. 2019 Mar 4:5:e182. doi: 10.7717/peerj-cs.182. eCollection 2019.

Authors

Xiangjie Kong¹, Lei Liu¹, Shuo Yu¹, Andong Yang¹, Xiaomei Bai², Bo Xu¹

Affiliations

¹ Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, China.
² Anshan Normal University, Computing Center, Anshan, China.

Abstract

Researchers use various skills in their works, such as writing, data analysis and experiments design. These research skills have greatly influenced the quality of their research outputs, as well as their scientific impact. Although many indicators have been proposed to quantify the impact of researchers, studies of evaluating their scientific research skills are very rare. In this paper, we analyze the factors affecting researchers' skill ranking and propose a new model based on hypergraph theory to evaluate the scientific research skills. To validate our skill ranking model, we perform experiments on the PLOS ONE dataset and compare the rank of researchers' skills with their papers' citation counts and h-index. Finally, we analyze the patterns about how researchers' skill ranking increased over time. Our studies also show the change patterns of researchers between different skills.

Keywords: Hypergraph model; Researcher evaluation; Skill ranking.

Grants and funding

This work was supported by the Fund for Promoting the Reform of Higher Education by Using Big Data Technology, Energizing Teachers and Students to Explore the Future (2017A01002), the Fundamental Research Funds for the Central Universities (DUT18JC09), Liaoning Provincial Key R&D Guidance Project (2018104021), and the Liaoning Provincial Natural Fund Guidance Plan (20180550011). There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.