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The Finding of Weak-Ties by Applying Spherical SOM and Association Rules

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5864))

Abstract

The finding of an evident relation in the same category is trivial. But the finding of an unexpected relation between different categories is interesting. It is called “Weak-ties” of the network analysis with the unexpected relation between different categories.

In this research, we apply Spherical Self-Organizing Map (SOM) and Association Rules to find "Weak-ties".  Spherical SOM is applied to explain macro structure, and Association Rules are applied to find micro short-cuts.  By applying those two methods, we are able to find relations that are distant on macro structure but strong in micro relevance.

We applied this method to the cognition data of comic books (Manga) and found "Weak-ties" of two and three of comic artists that are different in genre, generation and sex.

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© 2009 Springer-Verlag Berlin Heidelberg

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Ito, T., Onoda, T. (2009). The Finding of Weak-Ties by Applying Spherical SOM and Association Rules. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10684-2_93

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  • DOI: https://doi.org/10.1007/978-3-642-10684-2_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10682-8

  • Online ISBN: 978-3-642-10684-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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