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Weighted Community Network Based on Transfer Behavior

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Advanced Technology in Teaching - Proceedings of the 2009 3rd International Conference on Teaching and Computational Science (WTCS 2009)

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 117))

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Abstract

Transfer behavior is an important dynamic evolving mechanism and exists universally in real system. In this paper, a new community model, which incorporates transfer mechanism and weight dynamic, is proposed and the strength distribution is deduced. Numerical simulations are good agreement with the theoretical results and show good right skewed scale-free properties of strength distribution. Furthermore, we also analysis the correlations of vertices by calculate some important coefficients and prove the disassortative property of this model. Last, epidemic spreading process using weighted transmission rate on this weighted community network shows that the transfer behavior has a great impact on the epidemic dynamic.

This work was supported by the National Natural Science Foundation of China with Grant No. 10771039. lihuu2000@126.com

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References

  1. Barabsi, A.L., Albert, R.: Emergence of scaling in random networks. Science 286, 509–512 (1999)

    Article  MathSciNet  Google Scholar 

  2. Barabsi, A.L., Jeong, H., Albert, R.: Nature 401, 130 (1999)

    Article  Google Scholar 

  3. Huberman, B.A., Adamic, L.A.: Nature 401, 131 (1999)

    Google Scholar 

  4. Jeong, H., Mason, S.P., Barabsi, A.L., Oltvai, Z.N.: Nature 411, 41 (2000)

    Article  Google Scholar 

  5. Caldarelli, G., Marchetti, R., Pietronero, L.: Europhys. Lett. 52, 386 (2000)

    Google Scholar 

  6. Amaral, L.A.N., Scala, A., Barthelemy, M., Stanley, H.E.: Proc. Natl. Acad. Sci. USA 97, 11149 (2000)

    Article  Google Scholar 

  7. Ravasz, E., Somera, A.L., Mongru, D.A.: Science 297, 1551 (2002)

    Article  Google Scholar 

  8. Li, X., Chen, G.: Physica A 328, 274 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  9. Li, X., Jin, Y.Y., Chen, G.: Physica A 328, 287 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  10. Oh, E., Rho, K., Hong, H., Kahng, B.: Phys. Rev. E 72, 047101 (2005)

    Google Scholar 

  11. Barabsi, A.L., Jeong, H., Neda, Z., Ravasz, E., Schubert, A., Vicsek, T.: Physica A 311, 590 (2002)

    Article  MathSciNet  Google Scholar 

  12. Huberman, B.A., Pirolli, P.L.T., Pitkow, J.E., Lukose, R.M.: Science 280, 95 (1998)

    Article  Google Scholar 

  13. Guimera, R., Mossa, S., Turtschi, A., et al.: The world-wide air transportation network: anomalous centrality, community structure and cities’global roles. PNAS 102(31), 7794–7799 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  14. Guimera, R., Amaral, L.A.N.: Modeling the world2 wide airport network. Eur. Phys. J. B 38, 381–385 (2004)

    Article  Google Scholar 

  15. Pollner, P., Palla, G., Vicsek, T.: Europhys. Lett. 73, 478 (2006)

    MathSciNet  Google Scholar 

  16. Barrat, A., Barthelemy, M., Vespignani, A.: Phys. Rev. Lett. 92, 228701 (2004)

    Article  Google Scholar 

  17. Newman, M.E.J.: Natl. Acad. Sci. USA 98, 404 (2001)

    Article  MATH  Google Scholar 

  18. Pan, Z., Li, X., Wang, X.F.: Phys. Rev. E 73, 056109 (2001)

    Google Scholar 

  19. Newman, M.E.J.: Phys. Rev. E 67, 026126 (2003)

    Google Scholar 

  20. Barabsi, A.L., Albert, R., Jeong, H.: H. Physica A 272, 173 (1999)

    Article  Google Scholar 

  21. Albert, R., Barabsi, A.L.: Phys. Rev. Lett. 85, 5234 (2000)

    Article  Google Scholar 

  22. Macdonald, P.J., AlmaasEand Barabasi, A.L.: Europhys. Lett. 72, 10232 (2005)

    Google Scholar 

  23. Newman, M.E.J.: Phys. Rev. Lett. 89, 208701 (2002)

    Article  Google Scholar 

  24. Murray, J.D.: Mathematical Biology, vol. 85, p. 5234. Springer, Berlin (2000)

    Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, P.R. China

    Shunxuan Chen

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  1. Shunxuan Chen
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Correspondence to Shunxuan Chen .

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Editors and Affiliations

  1. Central China Normal University, Lvting Yajing, Hongshan Qu 10-3-102, Wuhan, 430079, China, People's Republic

    Yanwen Wu

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Chen, S. (2012). Weighted Community Network Based on Transfer Behavior. In: Wu, Y. (eds) Advanced Technology in Teaching - Proceedings of the 2009 3rd International Conference on Teaching and Computational Science (WTCS 2009). Advances in Intelligent and Soft Computing, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25437-6_74

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  • DOI: https://doi.org/10.1007/978-3-642-25437-6_74

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25436-9

  • Online ISBN: 978-3-642-25437-6

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