Visualização da relevância relativa de investigadores a partir da sua produção textual

L. Trigo, Pavel Brazdil
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Abstract

Building a researchers affinity network through the automatic processing of their publications allows us to gain a perspective that goes beyond the networks established through co-authorship. The definition of the importance of each researcher is defined upon their bibliographic production volume, i.e., number of publications, and also upon their centrality in the general network of researchers. In fact, the centrality of a researcher in a network reveals its importance in communication flows with other researchers, thus assuming that communication between researchers is itself a relevant factor for organizational life and in its production. Both network and centrality concepts are better interpreted in a graphical way. In this study, we explore the workflow that will provide these visualizations and focus in the empirical selection of the most appropriate centrality measure. We also propose a centrality visualization method that facilitates the interpretation of the selected measures
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从研究人员的文本生产中可视化他们的相对相关性
通过自动处理研究人员的出版物来建立一个研究人员的亲和网络,使我们能够获得一个超越通过共同作者建立的网络的视角。每个研究人员的重要性的定义是根据他们的书目产量,即出版物的数量,以及他们在研究人员的一般网络中的中心地位来定义的。事实上,研究人员在网络中的中心地位揭示了其在与其他研究人员的交流流动中的重要性,从而假设研究人员之间的交流本身就是组织生活及其生产的一个相关因素。网络和中心性概念都可以用图形化的方式更好地解释。在本研究中,我们探索了将提供这些可视化的工作流程,并将重点放在最合适的中心性度量的经验选择上。我们还提出了一种中心性可视化方法,便于对所选措施的解释
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