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Valuable Change Detection in Keyword Map Animation

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Advances in Artificial Intelligence (Canadian AI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5549))

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Abstract

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.

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References

  1. Newman, M.E.J.: Detecting community structure in networks. The European Physical Journal B 38, 321–330 (2004)

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  2. Matsuo, Y., Sakaki, T., Uchiyama, K., Ishizuka, M.: Graph-based Word Clustering using Web Search Engine. In: Proc. 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), pp. 542–550 (2006)

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© 2009 Springer-Verlag Berlin Heidelberg

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Nishikido, T., Sunayama, W., Nishihara, Y. (2009). Valuable Change Detection in Keyword Map Animation. In: Gao, Y., Japkowicz, N. (eds) Advances in Artificial Intelligence. Canadian AI 2009. Lecture Notes in Computer Science(), vol 5549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01818-3_31

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  • DOI: https://doi.org/10.1007/978-3-642-01818-3_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01817-6

  • Online ISBN: 978-3-642-01818-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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