Co-authorship pair distribution patterns by gender

被引:35
|
作者
Ozel, Bulent [1 ,2 ]
Kretschmer, Hildrun [3 ,4 ]
Kretschmer, Theo [4 ]
机构
[1] Istanbul Bilgi Univ, Dept Comp Engn, Istanbul, Turkey
[2] Reykjavik Univ, Sch Sci & Engn, Reykjavik, Iceland
[3] Dalian Univ Technol, WISELAB, Dalian 116023, Peoples R China
[4] COLLNET Ctr Borgsdorfer, D-16540 Hohen Neuendorf, Germany
关键词
Collaboration in sciences; Gender; Co-authorship networks; Interpersonal attraction; Social Gestalt model; RESEARCH COLLABORATION; COAUTHORSHIP;
D O I
10.1007/s11192-013-1145-y
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper examines impact of gender both on publication productivity and on patterns of scientific collaborations in social sciences in Turkey. The research is based on bibliographic data on national level publications in Turkey. It consists of 7,835 papers written by 6,738 scientists. The findings suggest that (1) there are gender differences at publication productivity, participation, presence and contribution; that (2) there are significantly different tendencies at keeping established co-authorship ties for inter-gender and intra-gender pairs; that (3) there are significant regularities exhibited by coauthor pairs based on each partner author's publication productivity and findings further show that (4) regularities are different for inter-gender and intra-gender co-authorships. This study contributes to literature by exemplifying an integrated approach to better examine role of gender in scientific collaborations. In addition to descriptive social network analysis methods, it exploits and adopts parametric models from the literature: (1) Social Gestalt theory, a model based on bi-variate distributions of co-author pairs' frequencies; (2) Lotka's power law distribution on publication productivity of single authors; (3) Power law distributions of co-author pairs' frequencies.
引用
收藏
页码:703 / 723
页数:21
相关论文
共 50 条
  • [31] Issues in the analysis of co-authorship networks
    De Stefano, Domenico
    Giordano, Giuseppe
    Vitale, Maria Prosperina
    QUALITY & QUANTITY, 2011, 45 (05) : 1091 - 1107
  • [32] Improper co-authorship in common crimes
    Patricia Sanchez-Perez, Claudia
    DIXI, 2019, 21 (30):
  • [33] Why do ecologists search for co-authorships? Patterns of co-authorship networks in ecology (1977-2016)
    Medina, Anderson Matos
    SCIENTOMETRICS, 2018, 116 (03) : 1853 - 1865
  • [34] Co-citation and Co-authorship Networks of Statisticians
    Ji, Pengsheng
    Jin, Jiashun
    Ke, Zheng Tracy
    Li, Wanshan
    JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2022, 40 (02) : 469 - 485
  • [35] Matilda Effect in the Hispanic American Communication co-authorship network
    Srgado-Boj, Francisco
    Prieto-Gutierrez, Juan-Jose
    Quevedo-Redondo, Raquel
    REVISTA MEDITERRANEA COMUNICACION-JOURNAL OF COMMUNICATION, 2021, 12 (02): : 77 - 95
  • [36] The rise in co-authorship in the social sciences (1980-2013)
    Henriksen, Dorte
    SCIENTOMETRICS, 2016, 107 (02) : 455 - 476
  • [37] Detecting, identifying and visualizing research groups in co-authorship networks
    Perianes-Rodriguez, Antonio
    Olmeda-Gomez, Carlos
    Moya-Anegon, Felix
    SCIENTOMETRICS, 2010, 82 (02) : 307 - 319
  • [38] Factors Influencing the Extent of Co-Authorship in IS Research: An Empirical Investigation
    Bandodkar, Nikhil Ramkrishna
    Grover, Varun
    COMMUNICATIONS OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2016, 38 : 84 - 105
  • [39] Measuring biases in AI-generated co-authorship networks
    Ghazal Kalhor
    Shiza Ali
    Afra Mashhadi
    EPJ Data Science, 14 (1)
  • [40] Of stars and galaxies–Co-authorship network and research
    Xiaoli Hu
    Oliver Zhen Li
    Sha Pei
    China Journal of Accounting Research, 2020, (01) : 1 - 30