结合先进的可视化和自动化推理的网络计量学：一项测试研究
Combining Advanced Visualization and Automatized Reasoning for Webometrics: A Test Study
摘要：
本文首次尝试通过分析网络上相关学术机构的交流，对科学领域中的链接行为进行精确和自动的识别。所提出的方法是基于多视点数据分析（MVDA）的范式，可以卓有成效地利用突出数据之间的关系，如网站，进行几种描述。它使用MultiSOM聚类和映射方法。本研究选择的领域是德国的计算机科学领域。该分析是在一组438个网站的这一领域使用所有在一起，专题，地理和链接信息。它突出了有趣的结果，关于全球和当地的链接行为。
英文摘要：
This paper presents a first attempt at performing a precise and automatic identification of the linking behaviour in a scientific domain through the analysis of the communication of the related academic institutions on the web. The proposed approach is based on the paradigm of multiple viewpoint data analysis (MVDA) than can be fruitfully exploited to highlight relationships between data, like websites, carrying several kinds of description. It uses the MultiSOM clustering and mapping method. The domain that has been chosen for this study is the domain of Computer Science in Germany. The analysis is conduced on a set of 438 websites of this domain using all together, thematic, geographic and linking information. It highlights interesting results concerning both global and local linking behaviour.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
