首页> 外文学位 >Impact of co-authorship strategies on research productivity: A social-network analysis of publications in Russian cardiology.
【24h】

Impact of co-authorship strategies on research productivity: A social-network analysis of publications in Russian cardiology.

机译:共同作者策略对研究生产率的影响:俄罗斯心脏病学出版物的社交网络分析。

获取原文
获取原文并翻译 | 示例

摘要

This study explores how the choice of a co-authorship strategy determines individual research productivity measured in terms of quantity of publications. The exploration is conducted in the specific context of Russian cardiologic research.;The concept of social capital is used to explain the relationship between coauthorship and increased research productivity. The methodology for theoretical classification and empirical determination of co-authorship strategies is based on theoretical and methodological foundations borrowed from social network analysis. Two competing theories explaining the relationship between social network structure and social capital by Coleman (1988) and Burt (1992) are used to classify and to determine empirically co-authorship strategies.;The study is conducted in three phases. First, social network analysis is used to determine the co-authorship strategy of each researcher in the study. Second, analysis of variance is applied to determine the effect of co-authorship strategies on individual research productivity. Third, sensitivity analysis is conducted to determine whether the results hold under different assumptions.;The results indicate that co-authorship strategies have differential effects on research productivity and that the bridging strategy, in which a researcher serves as a broker between other researchers, is the most productive in Russian cardiologic research. This finding is consistent with the results of a prior study on the effect of co-authorship strategies on individual research productivity in the US research in higher education (Rumsey-Wairepo, 2006). The study supports Burt‘s (1992) theory of structural holes in explaining how social network structure creates social capital.
机译:本研究探讨了共同作者策略的选择如何确定以出版物数量衡量的个人研究生产率。探索是在俄罗斯心脏病研究的特定背景下进行的。社会资本的概念用于解释共同作者与提高研究生产率之间的关系。共同作者策略的理论分类和经验确定的方法是基于从社会网络分析中借鉴的理论和方法基础。科尔曼(Coleman,1988)和伯特(Burt,1992)使用两种相互竞争的理论来解释社会网络结构与社会资本之间的关系,以此来分类和确定经验上的共同作者策略。研究分三个阶段进行。首先,使用社交网络分析来确定研究中每个研究人员的共同作者策略。其次,运用方差分析来确定共同作者策略对个人研究生产率的影响。第三,进行敏感性分析以确定结果是否在不同的假设下成立;结果表明,共同作者策略对研究生产率具有不同的影响,而由研究人员充当其他研究人员之间的中间人的桥接策略是在俄罗斯心脏病研究中效率最高。这一发现与美国大学研究中共同作者策略对个人研究生产力的影响的先前研究结果一致(Rumsey-Wairepo,2006)。该研究支持伯特(1992)的结构漏洞理论来解释社会网络结构如何创造社会资本。

著录项

  • 作者

    Kuzhabekova, Aliya.;

  • 作者单位

    University of Minnesota.;

  • 授予单位 University of Minnesota.;
  • 学科 Education Higher Education Administration.;Education Higher.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 147 p.
  • 总页数 147
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:44:21

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号