Combining Advanced Visualization and Automatized Reasoning for Webometrics: A Test Study
نویسندگان
چکیده
This paper presents a first attempt for 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.
منابع مشابه
A new hyperbolic visualization method for displaying the results of a neural gas model: application to Webometrics
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ورودعنوان ژورنال:
- CoRR
دوره abs/0810.5057 شماره
صفحات -
تاریخ انتشار 2008