Research impact in co-authorship networks: a two-mode analysis

被引：32
|
作者：
Dehdarirad, Tahereh [1 ]
Nasini, Stefano [2 ]
机构：
[1] Univ Barcelona, Barcelona, Spain
[2] IESEG Sch Management, LEM CNRS 9221, Lille, France
来源：
JOURNAL OF INFORMETRICS | 2017年 / 11卷 / 02期
基金：
欧洲研究理事会;
关键词：
Bibliometrics; Co-authorship networks; Two-mode networks; Assortativity; Regression modeling; OPEN-ACCESS; CITATION COUNTS; COLLABORATION; ARTICLES; MODELS; DETERMINANTS; PUBLICATION; NUMBER; INDEX;
D O I：
10.1016/j.joi.2017.02.002
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In the context of research collaboration and co-authorship, we studied scholars' scientific achievements and success, based on their collection of shared publications. By means of a novel regression model, which exploits the two-mode structure of co-authorship, we translated paper scientific impact into author professional achievement, to simultaneously account for the effect of paper properties (access status, funding bodies, etc.) as well as author demographic and behavioral characteristics (gender, nationality) on academic success and impact. After a detailed analysis of the proposed statistical procedure, we illustrated our approach with an empirical analysis of a co-authorship network based on 1007 scientific articles. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：371 / 388
页数：18
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