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Contagious Sets in Dense Graphs

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Combinatorial Algorithms (IWOCA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9538))

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Abstract

We study the activation process in undirected graphs known as bootstrap percolation: a vertex is active either if it belongs to a set of initially activated vertices or if at some point it had at least r active neighbors, for a threshold r that is identical for all vertices. A contagious set is a vertex set whose activation results with the entire graph being active. Let m(Gr) be the size of a smallest contagious set in a graph G. We examine density conditions that ensure that a given n-vertex graph \(G=(V,E)\) has a small contagious set. With respect to the minimum degree, we prove that if G has minimum degree \(n{\slash }2\) then \(m(G,2)=2\). We also provide tight upper bounds on the number of rounds until all nodes are active.

For \(n \ge k \ge r\), we denote by M(nkr) the maximum number of edges in an n-vertex graph G satisfying \(m(G,r)>k\). We determine the precise value of M(nk, 2) and M(nkk) assuming that n is sufficiently large compared to k.

D. Freund—Supported in part by U.S. Army Research Office grant W911NF-14-1-0477.

M. Poloczek—Supported by the Alexander von Humboldt Foundation within the Feodor Lynen program, and in part by NSF grant CCF-1115256.

D. Reichman—Supported in part by NSF grants IIS-0911036 and CCF-1214844, AFOSR grant FA9550-08-1-0266, and ARO grant W911NF-14-1-0017.

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References

  1. Ackerman, E., Ben-Zwi, O., Wolfovitz, G.: Combinatorial model and bounds for target set selection. Theor. Comput. Sci. 411, 4017–4022 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  2. Amini, H., Cont, R. Minca, A.: Resilience to contagion in financial networks. Math. Finance (2013)

    Google Scholar 

  3. Amini, H., Fountoulakis, N.: What I tell you three times is true: bootstrap percolation in small worlds. In: Goldberg, P.W. (ed.) WINE 2012. LNCS, vol. 7695, pp. 462–474. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  4. Balogh, J., Bollobás, B.: Bootstrap percolation on the hypercube. Prob. Theor. Relat. Fields 134, 624–648 (2006)

    Article  MATH  Google Scholar 

  5. Balogh, J., Bollobás, B., Duminil-Copin, H., Morris, R.: The sharp threshold for bootstrap percolation in all dimensions. Trans. Am. Math. Soc. 364, 2667–2701 (2012)

    Article  MATH  Google Scholar 

  6. Balogh, J., Pete, G.: Random disease on the square grid. Random Struct. Algorithms 13, 409–422 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  7. Balogh, J., Pittel, B.: Bootstrap percolation on the random regular graph. Random Struct. Algorithms 30, 257–286 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  8. Chalupa, J., Leath, P.L., Reich, G.R.: Bootstrap percolation on a Bethe lattice. J. Phys. C Solid State Phys. 12, L31 (1979)

    Article  Google Scholar 

  9. Chen, N.: On the approximability of influence in social networks. SIAM J. Discrete Math. 23, 1400–1415 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  10. Coja-Oghlan, A., Feige, U., Krivelevich, M., Reichman, D.: Contagious sets in expanders. In: Proceedings of the 26th Symposium on Discrete Algorithms (SODA 2015), pp. 1953–1987 (2015)

    Google Scholar 

  11. Janson, S., Łuczak, T., Turova, T., Vallier, T.: Bootstrap percolation on the random graph \(G_{n, p}\). Ann. Appl. Prob. 22, 1989–2047 (2012)

    Article  MATH  Google Scholar 

  12. Kempe, D., Kleinberg, J.M., Tardos, É.: Maximizing the spread of influence through a social network. Theor. Comput. 11, 105–147 (2015)

    Article  MathSciNet  Google Scholar 

  13. Nichterlein, A., Niedermeier, R., Uhlmann, J., Weller, M.: On tractable cases of Target Set Selection. Soc. Netw. Anal. Min. 3, 233–256 (2013)

    Article  Google Scholar 

  14. Ore, O.: Note on Hamilton circuits. Am. Math. Monthly 67, 55 (1960)

    Article  MathSciNet  MATH  Google Scholar 

  15. Przykucki, M.: Maximal percolation time in hypercubes under two-dimensional bootstrap percolation. Electron. J. Comb. 19, 1–13 (2012)

    MathSciNet  Google Scholar 

  16. Reichman, D.: New bounds for contagious sets. Discrete Math. 312, 1812–1814 (2012)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the reviewers for their valuable comments that helped improving the presentation of the paper significantly.

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Correspondence to Matthias Poloczek .

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Freund, D., Poloczek, M., Reichman, D. (2016). Contagious Sets in Dense Graphs. In: Lipták, Z., Smyth, W. (eds) Combinatorial Algorithms. IWOCA 2015. Lecture Notes in Computer Science(), vol 9538. Springer, Cham. https://doi.org/10.1007/978-3-319-29516-9_16

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  • DOI: https://doi.org/10.1007/978-3-319-29516-9_16

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