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

Authors:
Takaichi Ito;Tetsuya Onoda
Affiliations:
Graduate School of Media and Governance, Keio University,;School of Information-Oriented Management, Sanno University,
Venue:
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Year:
2009

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Mining association rules between sets of items in large databases

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Self-organizing maps

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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.