1. Measure the Impact of Institution and Paper Via Institution-Citation Network
- Author
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Jin Ni, Lei Shi, Ivan Lee, Xiaomei Bai, Fuli Zhang, Bai, Xiaomei, Zhang, Fuli, Ni, Jin, Shi, Lei, and Lee, Ivan
- Subjects
FOS: Computer and information sciences ,Physics - Physics and Society ,Citation network ,General Computer Science ,Computer science ,FOS: Physical sciences ,Physics and Society (physics.soc-ph) ,institution-citation network ,050905 science studies ,law.invention ,PageRank ,law ,Digital Libraries (cs.DL) ,General Materials Science ,paper impact ,Measure (data warehouse) ,Information retrieval ,05 social sciences ,General Engineering ,institution impact ,Computer Science - Digital Libraries ,Ranking ,Institution impact ,Institution (computer science) ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,0509 other social sciences ,050904 information & library sciences ,Citation ,lcsh:TK1-9971 ,Host (network) - Abstract
This paper investigates the impact of institutes and papers over time based on the heterogeneous institution-citation network. A new model, IPRank, is introduced to measure the impact of institution and paper simultaneously. This model utilises the heterogeneous structural measure method to unveil the impact of institution and paper, reflecting the effects of citation, institution, and structural measure. To evaluate the performance, the model first constructs a heterogeneous institution-citation network based on the American Physical Society (APS) dataset. Subsequently, PageRank is used to quantify the impact of institution and paper. Finally, impacts of same institution are merged, and the ranking of institutions and papers is calculated. Experimental results show that the IPRank model better identifies universities that host Nobel Prize laureates, demonstrating that the proposed technique well reflects impactful research. Refereed/Peer-reviewed
- Published
- 2020