On Spectra of Corona Graphs

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Algorithms and Discrete Applied Mathematics (CALDAM 2015)

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Abstract

Product graphs have been gainfully used in literature to generate mathematical models of complex networks which inherit properties of real networks. Realizing the duplication phenomena imbibed in the definition of corona product of two graphs, we define corona graphs. Given a small simple connected graph which we call basic graph, corona graphs are defined by taking corona product of the basic graph iteratively. We calculate the possibility of having a node of degree k in any corona graph which lead to obtain degree distribution of corona graphs. We determine explicit formulae of eigenvalues, Laplacian eigenvalues and signless Laplacian eigenvalues of corona graphs when the basic graph is regular. Computable expressions of eigenvalues and signless Laplacian eigenvalues are also obtained when the basic graph is a star graph.

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References

  1. Albert, R., Barabási, A.-L.: Statistical mechanics of complex networks. Rev. Mod. Phys. 74, 47 (2002)

    Article  MATH  Google Scholar 

  2. Barik, S., Pati, S., Sarma, B.: The spectrum of the corona of two graphs. SIAM J. Discrete Math. 21, 47–56 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  3. Bapat, R.B.: Graphs and matrices. Springer (2010)

    Google Scholar 

  4. Crovella, M.E., Taqqu, M.S.: Estimating the heavy tail index from scaling properties. Methodol. Comput. Appl. 1, 55–79 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  5. Cui, S.-Y., Tian, G.-X.: The spectrum and the signless Laplacian spectrum of coronae. Linear Algebra Appl. 437, 1692–1703 (2012)

    Article  MATH  MathSciNet  Google Scholar 

  6. Cvetković, D., Simić, S.K.: Towards a spectral theory of graphs based on the signless Laplacian, I. Publ. Inst. Math(Beograd)(NS) 85, 19–33 (2009)

    Article  Google Scholar 

  7. Cvetković, D., Simić, S.K.: Towards a spectral theory of graphs based on the signless Laplacian, II. Linear Algebra Appl. 432, 2257–2272 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  8. Cvetković, D., Simić, S.K.: Towards a spectral theory of graphs based on the signless Laplacian, III. Appl. Anal. Discrete Math. 4, 156–166 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  9. Frucht, R., Harary, F.: On the corona of two graphs. Aequationes Math. 4, 322–325 (1970)

    Article  MATH  MathSciNet  Google Scholar 

  10. Haemers, W.H., Spence, E.: Enumeration of cospectral graphs. European J. Combin. 25, 199–211 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  11. Ispolatov, I., Krapivsky, P.L., Yuryev, A.: Duplication-divergence model of protein interaction network. Phys. Rev. E 71, 061911 (2005)

    Google Scholar 

  12. Leskovec, J., Chakrabarti, D., Kleinberg, J., Faloutsos, C., Ghahramani, Z.: Kronecker graphs: An approach to modeling networks. J. Mach. Learn. Res. 11, 985–1042 (2010)

    MATH  MathSciNet  Google Scholar 

  13. Misiewicz, J.: Fat-Tailed Distributions: Data, Diagnostics, and Dependence (2011)

    Google Scholar 

  14. Newman, M.E.J.: The structure and function of complex networks. SIAM Rev. 45, 167–256 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  15. Parsonage, E., Nguyen, H.X., Bowden, R., Knight, S., Falkner, N., Roughan, M.: Generalized graph products for network design and analysis. In: 19th IEEE International Conference on Network Protocols (ICNP), pp. 79–88 (2011)

    Google Scholar 

  16. Rachev, S.T.: Handbook of Heavy Tailed Distributions in Finance: Handbooks in Finance 1. Elsevier (2003)

    Google Scholar 

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Sharma, R., Adhikari, B., Mishra, A. (2015). On Spectra of Corona Graphs. In: Ganguly, S., Krishnamurti, R. (eds) Algorithms and Discrete Applied Mathematics. CALDAM 2015. Lecture Notes in Computer Science, vol 8959. Springer, Cham. https://doi.org/10.1007/978-3-319-14974-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-14974-5_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14973-8

  • Online ISBN: 978-3-319-14974-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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