论文标题
通过机构引文网络来衡量机构和纸张的影响
Measure the Impact of Institution and Paper via Institution-citation Network
论文作者
论文摘要
本文根据异质机构引用网络调查了机构和论文的影响。引入了一种新的模型，即Iprank，以同时衡量机构和论文的影响。该模型利用异质结构测量方法揭示了机构和纸张的影响，反映了引文，机构和结构措施的影响。为了评估性能，该模型首先构建了基于美国物理社会（APS）数据集的异质机构引用网络。随后，Pagerank用于量化机构和纸张的影响。最后，合并了同一机构的影响，并计算了机构和论文的排名。实验结果表明，IPRANK模型更好地确定了拥有诺贝尔奖获奖的大学，这表明该提出的技术很好地反映了有影响力的研究。
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.
