科学合作网络观点:巴西计算机科学研究生项目案例

Aurelio Ribeiro Costa, Vanessa Tavares Nunes, Célia Ghedini Ralha
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引用次数: 0

摘要

科学合作网络可以呈现出对研究人员互动的不同看法。这项工作提出了SCI-synergy,一个在线可导航的工件,旨在促进科学协作网络的机制和观点。该工件关注研究人员在考虑项目内和项目间关系的共同作者的出版物中的相互作用。SCI-synergy是在设计科学研究范式的基础上开发的,使用大型数字书目和图书馆项目(DBLP)存储库中可用的科学出版数据。官方数据来自六个巴西研究生项目成员的Sucupira存储库,包括米纳斯吉拉斯州联邦大学(UFMG)、圣保罗州立大学(USP)、北里奥格兰德联邦大学(UFRN)、亚马逊联邦大学(UFAM)、Brasília大学(UnB)和西诺斯河谷大学(UNISINOS)。来自这些研究生项目的数据说明了与每个项目的科学协作网络有关的工件使用情况,每个研究人员如何合作,以及在项目内部和项目之间存在什么关系模式。我们主张,尽管有必要考虑每个项目的历史数据和当前关于政治、经济和管理的背景,但SCI-synergy提供的协作网络视图可能有助于理解协作网络模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scientific Collaboration Network Views: A Brazilian Computer Science Graduate Programs Case
Scientific collaboration networks can present different views of researchers’ interactions. This work presents SCI-synergy, an online navigable artifact aiming to promote mechanisms and views of scientific collaboration networks. The artifact focuses on the researchers’ interaction in the co-authorship of publications considering intra- and interprogram relationships. SCI-synergy is developed upon the design science research paradigm using scientific publication data available on the large Digital Bibliography & Library Project (DBLP) repository. Official data from the Sucupira repository of six Brazilian graduate program members including Federal University of Minas Gerais (UFMG), State University of São Paulo (USP), Federal University of Rio Grande do Norte (UFRN), Federal University of Amazonas (UFAM), University of Brasília (UnB), and University of Vale do Rio dos Sinos (UNISINOS) is used. Data from these graduate programs illustrate the artifact usage regarding the scientific collaboration network of each program, how each researcher cooperates, and what relationship patterns exist in intra- and inter-programs views. We advocate that, even though it is necessary to consider data from each program’s history and current contextualization regarding politics, economics, and administration, the collaboration network views provided by SCI-synergy might help to understand collaboration network patterns.
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