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首页> 外文期刊>Aslib journal of information management: New information perspectives >Do prestige and trust sustain knowledge-based communities? Evidence from Medical Ethics co-authorship networks in France: A micro study
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Do prestige and trust sustain knowledge-based communities? Evidence from Medical Ethics co-authorship networks in France: A micro study

机译:信誉和信任维持知识吗社区?共同创作的网络在法国:微观的研究

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Purpose The purpose of this paper is to identify embedded communities among Medical Ethics scholars in France based on their position and strength of association in the social networks they form.Design/methodology/approach The author constructed a co-authorship network by linking two authors if they co-authored a paper. Once the co-authorship network was constructed, the author investigated the entire network quantitatively using standard research methods known as social network analysis. The author's mechanism of community detection was via identification, i.e. communities were user-defined based on topological analysis.Findings The study identified that communities formed by trust (bonding or repeat connections) or by prestige (connection of well-connected scholars with those that are already well-connected) overlap each other, suggesting that trust and prestige may go hand in hand in sustaining communities. Structural holes within trust networks indicated that some actors played more of a broker role than did other actors.Research limitations/implications The study uses Web of Science field based category to extract data. Although thorough cleaning of data has been performed, author disambiguation over a three decade period remains a limitation.Originality/value Although there have been numerous studies on mapping co-authorship networks, there has been limited work investigating the underlying communities formed by author associations. The results of this study should be of immense benefit to those studying the science of science and S&T policy.
机译:本文的目的是确定目的嵌入社区医学伦理基于他们的立场和学者在法国协会在社交网络的力量他们的形式。构建一个共同创作的网络连接两位作者合著的一篇论文。作者共同创作网络构造整个网络定量调查使用标准的研究方法称为社会网络分析。社区探测是通过识别,即。社区是用户定义的基础上拓扑分析。发现社区形成的信任(焊接或重复连接)或声望(连接的人脉广泛的学者已经与)重叠其他,这表明信任和信誉可以走了手牵手在维持社区。结构洞内信任网络一些演员扮演了更多的经纪人的角色比其他演员。这项研究使用Web /限制的影响科学领域的基础类别提取数据。尽管彻底清理数据在三个作者进行消歧十年期间仍然是一个限制。在大量研究映射共同创作网络,有有限的工作调查潜在的社区形成的作者协会。应该有极大的好处,这些研究呢科学和科技政策的科学。

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