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Asymptotic Structure of Constrained Exponential Random Graph Models

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Abstract

In this paper, we study exponential random graph models subject to certain constraints. We obtain some general results about the asymptotic structure of the model. We show that there exists non-trivial regions in the phase plane where the asymptotic structure is uniform and there also exists non-trivial regions in the phase plane where the asymptotic structure is non-uniform. We will get more refined results for the star model and in particular the two-star model for which a sharp transition from uniform to non-uniform structure, a stationary point and phase transitions will be obtained.

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References

  1. Ahlswede, R., Katona, G.O.H.: Graphs with maximal number of adjacent pairs of edges. Acta Math. Acad. Sci. Hung. 32, 97–120 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  2. Aristoff, D., Zhu, L.: On the phase transition curve in a directed exponential random graph model. arXiv:1404.6514 (2014)

  3. Aristoff, D., Zhu, L.: Asymptotic structure and singularities in constrained directed graphs. Stoch. Process. Appl. 125, 4154–4177 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  4. Besag, J.: Statistical analysis of non-lattice data. J. R. Stat. Soc. D 24, 179–195 (1975)

    Google Scholar 

  5. Chatterjee, S., Diaconis, P.: Estimating and understanding exponential random graph models. Ann. Stat. 41, 2428–2461 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  6. Chatterjee, S., Varadhan, S.R.S.: The large deviation principle for the Erdős–Rényi random graph. Eur. J. Comb. 32, 1000–1017 (2011)

    Article  MATH  Google Scholar 

  7. Fienberg, S.E.: Introduction to papers on the modeling and analysis of network data. Ann. Appl. Stat. 4, 1–4 (2010)

    Article  MathSciNet  Google Scholar 

  8. Fienberg, S.E.: Introduction to papers on the modeling and analysis of network data-II. Ann. Appl. Stat. 4, 533–534 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  9. Kenyon, R., Radin, C., Ren K., Sadun, L.: Multipodal structure and phase transitions in large constrained graphs. arXiv:1405.0599 (2014)

  10. Kenyon, R., Yin, M.: On the asymptotics of constrained exponential random graphs. arXiv:1406.3662 (2014)

  11. Lovász, L.: Large Networks and Graph Limits. American Mathematical Society, Providence (2012)

    Book  MATH  Google Scholar 

  12. Lovász, L.: Very large graph. Curr. Dev. Math. 2008, 67–128 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  13. Newman, M.E.J.: Networks: An Introduction. Oxford University Press, Oxford (2010)

    Book  MATH  Google Scholar 

  14. Pikhurko, O., Razborov, A.: Asymptotic structure of graphs with the minimum number of triangles. Comb. Probab. Comput. 26, 138–160 (2017)

    Article  MathSciNet  Google Scholar 

  15. Radin, C., Yin, M.: Phase transitions in exponential random graphs. Ann. Appl. Probab. 23, 2458–2471 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  16. Radin, C., Sadun, L.: Phase transitions in a complex network. J. Phys. A 46, 305002 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  17. Radin, C., Ren, K., Sadun, L.: The asymptotics of large constrained graphs. J. Phys. A 47, 175001 (2014)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  18. Radin, C., Sadun, L.: Singularities in the entropy of asymptotically large simple graphs. J. Stat. Phys. 158, 853–865 (2015)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  19. Rinaldo, A., Fienberg, S., Zhou, Y.: On the geometry of discrete exponential families with application to exponential random graph models. Electron. J. Stat. 3, 446–484 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  20. Snijders, T.A.B., Pattison, P., Robins, G.L., Handcock, M.: New specifications for exponential random graph models. Sociol. Methodol. 36, 99–153 (2006)

    Article  Google Scholar 

  21. Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications. Structural Analysis in the Social Sciences, 2nd edn. Cambridge Univ. Press, Cambridge (2010)

    MATH  Google Scholar 

  22. Yin, M.: Critical phenomena in exponential random graphs. J. Stat. Phys. 153, 1008–1021 (2013)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  23. Yin, M., Rinaldo, A., Fadnavis, S.: Asymptotic quantization of exponential random graphs. Ann. Appl. Probab. 26, 3251–3285 (2016)

    Article  MathSciNet  Google Scholar 

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Acknowledgements

The author is very grateful to two anonymous referees and the editor for helpful comments and suggestions. The author also thanks David Aristoff for helpful discussions. The author is partially supported by NSF Grant DMS-1613164.

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Correspondence to Lingjiong Zhu.

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Zhu, L. Asymptotic Structure of Constrained Exponential Random Graph Models. J Stat Phys 166, 1464–1482 (2017). https://doi.org/10.1007/s10955-017-1733-y

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  • DOI: https://doi.org/10.1007/s10955-017-1733-y

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