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东欧社会学家合著网络中的同质性。

Homophily in coauthorship networks of East European sociologists.

机构信息

The Research Institute of the University of Bucharest &Department of Sociology, University of Bucharest, Schitu Măgureanu, 9, 010181, Bucharest, Romania.

Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, SI-2000, Maribor, Slovenia.

出版信息

Sci Rep. 2016 Oct 27;6:36152. doi: 10.1038/srep36152.

DOI:10.1038/srep36152
PMID:27786271
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5082375/
Abstract

We study to what degree and how homophily and network properties affect individual citation counts of researchers in the sociology departments of three East European countries, namely Poland, Romania, and Slovenia. We built first-order personal coauthorship networks out of the Web of Science publication records. Each sociologist is assigned as a focal node or ego, while her coauthors are alters. We analyze the data using structural measurements methods, hierarchical regression models, and we make visualizations based on the clustered graph technique. For all three populations, our results indicate that the mean score of the citations of alters substantially predicts the citation counts of egos. In particular, citation similarity increases the chances for coauthorship ties. Evidence for the impact of network properties on the citation levels of egos is mixed. For Poland, normalized ego-betweenness shows a negative effect on citation counts, while network density displays a positive one. For Romania and Slovenia, network characteristics have only a minor impact. Even if the visual summarization of the personal networks uncovers a wide palette of coauthorship patterns, homophily appears to be pervasive. These results are relevant for domestic policy makers who aim to improve the aggregated research performance in East European countries.

摘要

我们研究了同质性和网络属性在何种程度上以及如何影响三个东欧国家(波兰、罗马尼亚和斯洛文尼亚)社会学系研究人员的个人引用次数。我们根据 Web of Science 的出版物记录构建了一阶个人合著网络。每个社会学家都被分配为一个焦点节点或自我,而她的合著者则是改变者。我们使用结构测量方法、层次回归模型分析数据,并基于聚类图技术进行可视化。对于所有三个群体,我们的结果表明,改变者的平均引用得分极大地预测了自我的引用次数。特别是,引用相似性增加了合著关系的可能性。网络属性对自我引用水平的影响的证据是混合的。对于波兰,归一化自我中间性对引用次数有负面影响,而网络密度则有正面影响。对于罗马尼亚和斯洛文尼亚,网络特征的影响较小。即使个人网络的视觉总结揭示了广泛的合著模式,同质性似乎也很普遍。这些结果对于旨在提高东欧国家总体研究绩效的国内政策制定者具有重要意义。

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