Summary
By modifying a format of data inputted, KeyGraph can visualize a virtual small world structure among respondents of an empirical survey with ease. This article aims at examining a major question in the small world problem: searchability by the new utilization of KeyGraph. Authors found the clear difference of a potential connector and a substantial connector among clusters of human network, and this difference implies a significant nature of our social network, which tends to be overlooked under the strong influence of the Power Law theory.
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© 2005 Springer-Verlag Berlin Heidelberg
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Washida, Y., Tamura, H., Ohsawa, Y. (2005). Examining Small World Problem Using KeyGraph. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_55
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DOI: https://doi.org/10.1007/3-540-32391-0_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25055-5
Online ISBN: 978-3-540-32391-4
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