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Fingerprint for Network Topologies

  • Conference paper
Complex Sciences (Complex 2009)

Abstract

A network’s topology information can be given as an adjacency matrix. The bitmap of sorted adjacency matrix (BOSAM) is a network visualisation tool which can emphasise different network structures by just looking at reordered adjacent matrixes. A BOSAM picture resembles the shape of a flower and is characterised by a series of ‘leaves’. Here we show and mathematically prove that for most networks, there is a self-similar relation between the envelope of the BOSAM leaves. This self-similar property allows us to use a single envelope to predict all other envelopes and therefore reconstruct the outline of a network’s BOSAM picture. We analogise the BOSAM envelope to human’s fingerprint as they share a number of common features, e.g. both are simple, easy to obtain, and strongly characteristic encoding essential information for identification.

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References

  1. Wasserman, S., Faust, K.: Social Network Analysis. Cambridge University Press, Cambridge (1994)

    Book  MATH  Google Scholar 

  2. Watts, J.: Small Worlds: The Dynamics of Networks between Order and Randomness. Princeton Univeristy Press, New Jersey (1999)

    MATH  Google Scholar 

  3. Barabási, A., Albert, R.: Science 286, 509 (1999)

    Google Scholar 

  4. Strogatz, S.H.: Nature 410, 268 (2001)

    Google Scholar 

  5. Albert, R., Barabasi, A.L.: Rev. Mod. Phys. 74, 47 (2002)

    Google Scholar 

  6. Maslov, S., Sneppen, K.: Science 296, 910 (2002)

    Google Scholar 

  7. Bornholdt, S., Schuster, H.G.: Handbook of Graphs and Networks - From the Genome to the Internet. Wiley-VCH, Weinheim (2002)

    Book  MATH  Google Scholar 

  8. Newman, M.: SIAM Review 45, 167 (2003a)

    Google Scholar 

  9. Dorogovtsev, S.N., Mendes, J.F.F.: Evolution of Networks - From Biological Nets to the Internet and WWW. Oxford University Press, Oxford (2003)

    Book  MATH  Google Scholar 

  10. Pastor-Satorras, R., Vespignani, A.: Evolution and Structure of the Internet - A Statistical Physics Approach. Cambridge University Press, Cambridge (2004)

    Book  MATH  Google Scholar 

  11. Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.-U.: Physics Reports 424, 175 (2006)

    Google Scholar 

  12. Newman, M., Barabasi, A.-L., Watts, D. (eds.): The Structure and Dynamics of Networks. Princeton University Press, Princeton (2006)

    Google Scholar 

  13. Alvarez-Hamelin, J.-I., Dall’Asta, L., Barrat, A., Vespignani, A.: arXiv.org:cs/0504107

    Google Scholar 

  14. Guo, Y., Chen, C., Zhou, S.: Electronics Letters 43, 597 (2007)

    Google Scholar 

  15. Chakrabarti, D., Faloutsos, C., Zhan, Y.P.: International Journal of Human Computer Studies 65, 434 (2007)

    Google Scholar 

  16. Vazquez, A., Boguñá, M., Moreno, Y., Pastor-Satorras, R., Vespignani, A.: Phys. Rev. E 67 (2003)

    Google Scholar 

  17. Mahadevan, P., Krioukov, D., Fall, K., Vahdat, A.: Proc. of SIGCOMM 2006, pp. 135–146. ACM Press, New York (2006a)

    Google Scholar 

  18. Newman, M.E.J.: Phys. Rev. E 67 (2003b)

    Google Scholar 

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

    Google Scholar 

  20. Zhou, S., Mondragon, R.J.: IEEE Comm. Lett. 8, 180 (2004a)

    Google Scholar 

  21. Zhou, S., Mondragon, R.: New Journal of Physics 9, 1 (2007)

    Google Scholar 

  22. Mahadevan, P., Krioukov, D., Fomenkov, M., Huffaker, B., Dimitropoulos, X., Clffay, K., Vahdat, A.: Comput. Commun. Rev. 36, 17 (2006b)

    Google Scholar 

  23. Hogg, R.V., Craig, A.T.: Introduction to Mathematical Statistics, 3rd edn. Macmillan, Basingstoke (1970)

    MATH  Google Scholar 

  24. Rose, C., Smith, M.D.: Order Statistics. Springer, New York (2002)

    MATH  Google Scholar 

  25. Erdös, P., Rényi, A.: Publ. Math. Debrecen 6, 290 (1959)

    Google Scholar 

  26. Zhou, S., Mondragón, R.J.: Phys. Rev. E 70 (2004b)

    Google Scholar 

  27. Zhou, S.: Phys. Rev. E 74 (2006)

    Google Scholar 

  28. Zhou, S., Zhang, G.-Q., Zhang, G.-Q.: IET Commun. 1, 209 (2007)

    Google Scholar 

  29. Newman, M.: Phys. Rev. E 64, 016131 (2001a)

    Google Scholar 

  30. Newman, M.: Phys. Rev. E 64 (2001b)

    Google Scholar 

  31. Colizza, V., Flammini, A., Maritan, A., Vespignani, A.: Physica A 352, 1 (2005)

    Google Scholar 

  32. Internet Topology Data Kit (ITDK) #0403, http://www.caida.org/tools/measurement/skitter/

  33. The Cooperative Association For Internet Data Analysis (CAIDA), http://www.caida.org/

  34. Guimerá, R., Danon, L., Daz-Guilera, A., Giralt, F., Arenas, A.: Phys. Rev. E 68, 065103(R) (2003)

    Google Scholar 

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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Guo, Y., Chen, C., Zhou, S. (2009). Fingerprint for Network Topologies. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02469-6_45

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  • DOI: https://doi.org/10.1007/978-3-642-02469-6_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02468-9

  • Online ISBN: 978-3-642-02469-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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