Purpose:The purpose of this study is to propose an improved credit allocation method that makes the leading author of the paper more distinguishable and makes the deification more robust under malicious manipulations....Purpose:The purpose of this study is to propose an improved credit allocation method that makes the leading author of the paper more distinguishable and makes the deification more robust under malicious manipulations.Design/methodology/approach:We utilize a modified Sigmoid function to handle the fat-tail distributed citation counts.We also remove the target paper in calculating the contribution of co-citations.Following previous studies,we use 30 Nobel Prize-winning papers and their citation networks based on the American Physical Society(APS)and the Microsoft Academic Graph(MAG)dataset to test the accuracy of our proposed method(NCCAS).In addition,we use 654,148 articles published in the field of computer science from 2000 to 2009 in the MAG dataset to validate the distinguishability and robustness of NCCAS.Finding:Compared with the state-of-the-art methods,NCCAS gives the most accurate prediction of Nobel laureates.Furthermore,the leading author of the paper identified by NCCAS is more distinguishable compared with other co-authors.The results by NCCAS are also more robust to malicious manipulation.Finally,we perform ablation studies to show the contribution of different components in our methods.Research limitations:Due to limited ground truth on the true leading author of a work,the accuracy of NCCAS and other related methods can only be tested in Nobel Physics Prize-winning papers.Practical implications:NCCAS is successfully applied to a large number of publications,demonstrating its potential in analyzing the relationship between the contribution and the recognition of authors with different by-line orders.Originality/value:Compared with existing methods,NCCAS not only identifies the leading author of a paper more accurately,but also makes the deification more distinguishable and more robust,providing a new tool for related studies.展开更多
The real economy is the main body of high-quality development,and the efficiency of capital allocation is an important manifestation of the development of the real economy.Therefore,it is very important to study the e...The real economy is the main body of high-quality development,and the efficiency of capital allocation is an important manifestation of the development of the real economy.Therefore,it is very important to study the efficiency of capital allocation.As a representative of horizontal finance,commercial credit has a significant impact on the improvement of capital allocation efficiency.In view of this,this article combs the literature on commercial credit and capital allocation efficiency from the following aspects:firstly,by studying the literature,combing the literature on the macro-level,micro-level and economic effects of commercial credit;secondly,the measurement method of capital allocation efficiency And the influencing factors are systematically sorted out,and finally sorted out and evaluated the existing literature on the influence of commercial credit on the efficiency of capital allocation.展开更多
基金This work was supported by University Innovation Research Group of Chongqing(No.CXQT21005).
文摘Purpose:The purpose of this study is to propose an improved credit allocation method that makes the leading author of the paper more distinguishable and makes the deification more robust under malicious manipulations.Design/methodology/approach:We utilize a modified Sigmoid function to handle the fat-tail distributed citation counts.We also remove the target paper in calculating the contribution of co-citations.Following previous studies,we use 30 Nobel Prize-winning papers and their citation networks based on the American Physical Society(APS)and the Microsoft Academic Graph(MAG)dataset to test the accuracy of our proposed method(NCCAS).In addition,we use 654,148 articles published in the field of computer science from 2000 to 2009 in the MAG dataset to validate the distinguishability and robustness of NCCAS.Finding:Compared with the state-of-the-art methods,NCCAS gives the most accurate prediction of Nobel laureates.Furthermore,the leading author of the paper identified by NCCAS is more distinguishable compared with other co-authors.The results by NCCAS are also more robust to malicious manipulation.Finally,we perform ablation studies to show the contribution of different components in our methods.Research limitations:Due to limited ground truth on the true leading author of a work,the accuracy of NCCAS and other related methods can only be tested in Nobel Physics Prize-winning papers.Practical implications:NCCAS is successfully applied to a large number of publications,demonstrating its potential in analyzing the relationship between the contribution and the recognition of authors with different by-line orders.Originality/value:Compared with existing methods,NCCAS not only identifies the leading author of a paper more accurately,but also makes the deification more distinguishable and more robust,providing a new tool for related studies.
基金We are grateful for the financial support from Surface Project of“Nature Science Found of Shandong Province”(Project Title:Trade credit and TFP of Shandong Manufacturing Enterprises:a Study from the Perspective of Enterprises and Clusters,No.ZR2020MG037)Key Project of“Shandong University Humanities and Social Sciences”(Project Title:the Mechanism of Trade Credit Influencing Technological Innovation:an Empirical Study of Shandong Enterprises,No.J17RZ005)Surface Project of“Social Science Found of Shandong Province”(Project Title:Study on the Mechanism of Informal Finance Promoting Innovation in Shandong Province,No.19CJJJ23).
文摘The real economy is the main body of high-quality development,and the efficiency of capital allocation is an important manifestation of the development of the real economy.Therefore,it is very important to study the efficiency of capital allocation.As a representative of horizontal finance,commercial credit has a significant impact on the improvement of capital allocation efficiency.In view of this,this article combs the literature on commercial credit and capital allocation efficiency from the following aspects:firstly,by studying the literature,combing the literature on the macro-level,micro-level and economic effects of commercial credit;secondly,the measurement method of capital allocation efficiency And the influencing factors are systematically sorted out,and finally sorted out and evaluated the existing literature on the influence of commercial credit on the efficiency of capital allocation.
