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Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

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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References

  1. Watts, D. J., (2003) Six Degrees, W. W. Norton & Company, New York, NY, and London, UK

    Google Scholar 

  2. Milgram, S., (1967) ‘The Small World Problem,’ Psychology Today, vol. 1(1), 60–67

    Google Scholar 

  3. Granovetter, M., (1973) ‘The Strength of Weak Ties,’ American Journal of Sociology, vol. 78, 1360–1380

    Article  Google Scholar 

  4. Watts, D. J. and Strogatz, S. H., (1998) ‘Collective Dynamics of “Small-World” Network,’ Nature, vol. 393, 440–442

    Article  Google Scholar 

  5. Ohsawa, Y. and McBurney, P., eds, (2003) Chance Discovery, Springer Verlag

    Google Scholar 

  6. Barabasi, A. L. and Albert, R., (1999) ‘Emergence of Scaling in Random Network,’ Science, vol. 286, 509–512

    Article  MathSciNet  Google Scholar 

  7. Ohsawa, Y., Soma, H., Matsuo, Y., Matsumura, N., and Usui, M., (2002) ‘Featuring Web Communities based on World Co-occurrence Structure of Communications,’ Proceedings of WWW2002

    Google Scholar 

  8. Chance Discovery Consortium 2004, Examples of Chance Discovery, http://www.chancediscovery.com

    Google Scholar 

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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

  • eBook Packages: EngineeringEngineering (R0)

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