里斯本大学文学院文献与信息科学硕士学位教师交流网络图

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
G. Silva, R. Soares
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引用次数: 1

摘要

引言:本研究的目的是识别和理解里斯本大学艺术与人文学院语言系文献与信息科学硕士学院合著的社交网络联系。我们旨在讨论本研究的分析概念和方法:社交网络、合著者、社交网络分析和文献计量分析。方法:这是一项由定性和定量方法支持的探索性研究。对于数据收集,它使用Ciencia Vitae平台,对于社交网络的建模和分析,它使用Gephi软件。结果:对Ciencia Vitae中收集的数据、社交网络连接和Gephi软件中生成的数据进行了分析和讨论,从而验证了社交网络连接,并确定了两个显著的集群和一个孤立的链接。结论:它实现了所提出的目标,调查验证了该课程教授与外部研究人员之间存在信息网络,从而有可能理解信息流,并验证是否存在不通过合作而建立联系的教授。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapeamento da rede de comunicação dos docentes do curso de Mestrado em Ciências da Documentação e Informação da Faculdade de Letras da Universidade de Lisboa
Introduction : The goal of this research was to identify and understand the social network connections co-authored by the faculty of the Masters in Documentation and Information Sciences of the Languages Department of the School of Arts and Humanities of the University of Lisbon. We aimed to discuss the concepts and methods of analysis that ground this study: social network, co-authorship, social network analysis and bibliometric analysis. Method : This is an exploratory study supported by qualitative and quantitative approaches. For data collection, it uses the Ciencia Vitae platform, and for modeling and analyzing the social network, it uses  the software Gephi . Results : The data collected in Ciencia Vitae and the social network connections and data generated in Gephi software were analyzed and discussed, thus validating the social network connections and identifying two eminent clusters and one isolated link. Conclusion : It achieves the proposed objectives and the investigation validates the existence of the information network between the professors of the course and external researchers, making it possible to understand the informational flow and verify that there are professors who do not have ties of connection by co-authorship with each other.
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来源期刊
AtoZ-Novas Praticas em Informacao e Conhecimento
AtoZ-Novas Praticas em Informacao e Conhecimento INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
0.40
自引率
33.30%
发文量
21
审稿时长
28 weeks
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