2009 | OriginalPaper | Buchkapitel
Valuable Change Detection in Keyword Map Animation
verfasst von : Takuya Nishikido, Wataru Sunayama, Yoko Nishihara
Erschienen in: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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This paper proposes a map animation interface that supports interpretations of difference between two keyword relationships with varying viewpoints. Finding keywords whose relationships drastically change is crucial because the value of keywords mainly consists inof their relationships in networks. Therefore, this interface outputs marks for keywords that drastically change in their relations when it shows animations between two relationships.