Hashemi-Madani Nahid, Emami Zahra, E Khamseh Mohammad
Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.
Med J Islam Repub Iran. 2021 Dec 31;35:194. doi: 10.47176/mjiri.35.194. eCollection 2021.
Social network analysis (SNA) evaluates the connections and behavior of individuals in social groups. The scientific collaboration network is a kind of SNAs. A social network could be defined as a collection of nodes (social existence) and links (connections) associated with the nodes. The aim of this study was to evaluate the scientific outputs and collaboration networks of the countries and authors using indicators of SNA in the field of pituitary disorders between 2000 and 2020. This is a practical study performed by applying a scientometric approach and SNA. We retrieved 31257 papers in the field of pituitary disorders between 2000 and 2020. Data were analyzed using scientific software, namely, VOSviewer, UciNet, and Netdarw. Based on degree centrality, Colao and Pivonello in the world, Shimon and Kadioghlu in the Middle-East (ME), and Khamseh, Ghorbani in Iran achieved the top ranking. Based on the betweenness centrality, Pivonello, Colao, and Chanson in the world, Laws, and Kadioghlu in the Middle-East, and Larijani, Mohseni, and Khamseh in Iran were known as the top authors. According to closeness centrality, Pivonello, Colao, and Chanson in the world, Kadioghlu and Kelestimur in the Middle-East, and Mohseni, Khamseh, and Larijani in Iran were the top authors. The map of the authors' collaboration in the field of pituitary disorders consists of 92 nodes. A total number of 77313 authors had global collaboration. The global collaboration network was comprised of 129 nodes (country) and 2694 links (country's collaboration). The Middle-East collaboration network revealed 69 nodes and 1708 links. The collaboration network of the Middle-East countries consists of 13 nodes and 50 links. Authors with a higher degree, betweenness and closeness centrality have greater efficiency (the number of articles) and effectiveness (the number of received citations). Moreover, the authors and countries that published more scientific products received more citations. In addition, in the Middle-East countries, the interdisciplinary scientific collaboration between the researchers in the fields of endocrinology, neurosurgery, pathology, and radiology has a significant impact on improving scientific outputs.
社会网络分析（SNA）评估社会群体中个体的联系和行为。科学合作网络是一种社会网络分析。社会网络可以定义为节点（社会实体）和与节点相关联的链接（联系）的集合。本研究的目的是使用2000年至2020年垂体疾病领域的社会网络分析指标来评估各国和作者的科学产出及合作网络。这是一项通过应用科学计量方法和社会网络分析进行的实证研究。我们检索了2000年至2020年垂体疾病领域的31257篇论文。使用科学软件，即VOSviewer、UciNet和Netdarw对数据进行了分析。基于度中心性，世界范围内的科劳和皮沃内洛、中东地区的希蒙和卡迪奥格鲁以及伊朗的哈姆塞、戈尔巴尼排名靠前。基于中介中心性，世界范围内的皮沃内洛、科劳和尚松、中东地区的劳斯和卡迪奥格鲁以及伊朗的拉里贾尼、莫赫森尼和哈姆塞是顶尖作者。根据接近中心性，世界范围内的皮沃内洛、科劳和尚松、中东地区的卡迪奥格鲁和凯莱斯蒂穆尔以及伊朗的莫赫森尼、哈姆塞和拉里贾尼是顶尖作者。垂体疾病领域作者合作图谱由92个节点组成。共有77313名作者进行全球合作。全球合作网络由129个节点（国家）和2694条链接（国家间合作）组成。中东合作网络显示有69个节点和1708条链接。中东国家的合作网络由13个节点和50条链接组成。具有较高度中心性、中介中心性和接近中心性的作者具有更高的效率（文章数量）和有效性（被引用次数）。此外，发表更多科学成果的作者和国家获得的引用更多。此外，在中东国家，内分泌学、神经外科、病理学和放射学领域研究人员之间的跨学科科学合作对提高科学产出有显著影响。
