Skip to main content

On Spectra of Corona Graphs

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8959))

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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

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

Download citation

  • 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)

Publish with us

Policies and ethics