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Offensive Alliances in Signed Graphs

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Theory and Applications of Models of Computation (TAMC 2024)

Abstract

Signed graphs have been introduced to enrich graph structures expressing relationships between persons or general social entities, introducing edge signs to reflect the nature of the relationship, e.g., friendship or enmity. Independently, offensive alliances have been defined and studied for undirected, unsigned graphs. We join both lines of research and define offensive alliances in signed graphs, hence considering the nature of relationships. Apart from some combinatorial results, mainly on k-balanced and k-anti-balanced signed graphs (a newly introduced family of signed graphs), we focus on the algorithmic complexity of finding smallest offensive alliances, looking at a number of parameterizations. While the parameter solution size leads to an FPT result for unsigned graphs, we obtain \(\textsf {W}[2]\)-completeness for the signed setting. We introduce new parameters for signed graphs, e.g., distance to weakly balanced signed graphs, that could be of independent interest. We show that these parameters yield FPT results. Here, we make use of the recently introduced parameter neighborhood diversity for signed graphs.

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References

  1. Arrighi, E., Feng, Z., Fernau, H., Mann, K., Qi, X., Wolf, P.: Defensive alliances in signed networks. Technical report, Cornell University (2023)

    Google Scholar 

  2. Bansal, N., Blum, A., Chawla, S.: Correlation clustering. Mach. Learn. 56(1–3), 89–113 (2004)

    Article  MathSciNet  Google Scholar 

  3. Cartwright, D., Harary, F.: Structural balance: a generalization of Heider’s theory. Psychol. Rev. 63(5), 277–293 (1956)

    Article  Google Scholar 

  4. Cattanéo, D., Perdrix, S.: The parameterized complexity of domination-type problems and application to linear codes. In: Gopal, T.V., Agrawal, M., Li, A., Cooper, S.B. (eds.) TAMC 2014. LNCS, vol. 8402, pp. 86–103. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06089-7_7

    Chapter  Google Scholar 

  5. Chellali, M.: Trees with equal global offensive \(k\)-alliance and \(k\)-domination numbers. Opuscula Mathematica 30, 249–254 (2010)

    Article  MathSciNet  Google Scholar 

  6. Chellali, M., Haynes, T.W., Randerath, B., Volkmann, L.: Bounds on the global offensive \(k\)-alliance number in graphs. Discussiones Mathematicae Graph Theory 29(3), 597–613 (2009)

    Article  MathSciNet  Google Scholar 

  7. Cygan, M., et al.: On problems as hard as CNF-SAT. ACM Trans. Algorithms 12(3), 41:1–41:24 (2016)

    Google Scholar 

  8. Cygan, M., et al.: Parameterized Algorithms. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-319-21275-3

    Book  Google Scholar 

  9. Davis, J.A.: Clustering and structural balance in graphs. Human Relat. 20, 181–187 (1967)

    Article  Google Scholar 

  10. Dourado, M.C., Faria, L., Pizaña, M.A., Rautenbach, D., Szwarcfiter, J.L.: On defensive alliances and strong global offensive alliances. Disc. Appl. Math. 163(Part 2), 136–141 (2014). https://doi.org/10.1016/j.dam.2013.06.029

  11. Favaron, O.: Offensive alliances in graphs. Discussiones Mathematicae - Graph Theory 24, 263–275 (2002)

    Article  MathSciNet  Google Scholar 

  12. Fernau, H., Raible, D.: Alliances in graphs: a complexity-theoretic study. In: Leeuwen, J., et al. (eds.) SOFSEM 2007, Proceedings, vol. II, pp. 61–70. Institute of Computer Science ASCR, Prague (2007)

    Google Scholar 

  13. Fernau, H., Rodríguez-Velázquez, J.A., Sigarreta, S.M.: Offensive \(r\)-alliances in graphs. Disc. Appl. Math. 157, 177–182 (2009)

    Article  MathSciNet  Google Scholar 

  14. Gaikwad, A., Maity, S.: On structural parameterizations of the offensive alliance problem. In: Du, D.-Z., Du, D., Wu, C., Xu, D. (eds.) COCOA 2021. LNCS, vol. 13135, pp. 579–586. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-92681-6_45

    Chapter  Google Scholar 

  15. Gaikwad, A., Maity, S.: Offensive alliances in graphs. Technical Report. 2208.02992, Cornell University, ArXiv/CoRR (2022)

    Google Scholar 

  16. Gaikwad, A., Maity, S., Tripathi, S.K.: Parameterized complexity of defensive and offensive alliances in graphs. In: Goswami, D., Hoang, T.A. (eds.) ICDCIT 2021. LNCS, vol. 12582, pp. 175–187. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-65621-8_11

    Chapter  Google Scholar 

  17. Harary, F.: On the notion of balance of a signed graph. Michigan Math. J. 2, 143–146 (1953–54)

    Google Scholar 

  18. Harutyunyan, A.: Global offensive alliances in graphs and random graphs. Disc. Appl. Math. 164, 522–526 (2014)

    Article  MathSciNet  Google Scholar 

  19. Harutyunyan, A., Legay, S.: Linear time algorithms for weighted offensive and powerful alliances in trees. Theore. Comput. Sci. 582, 17–26 (2015)

    Article  MathSciNet  Google Scholar 

  20. Impagliazzo, R., Paturi, R., Zane, F.: Which problems have strongly exponential complexity? J. Comput. Syst. Sci. 63(4), 512–530 (2001)

    Article  MathSciNet  Google Scholar 

  21. Johnson, D.S., Szegedy, M.: What are the least tractable instances of Max Independent Set? In: Tarjan, R.E., Warnow, T.J. (eds.) Proceedings of the Tenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA, pp. 927–928. ACM/SIAM (1999)

    Google Scholar 

  22. Lokshtanov, D., Marx, D., Saurabh, S.: Lower bounds based on the exponential time hypothesis. EATCS Bull. 105, 41–72 (2011)

    MathSciNet  Google Scholar 

  23. Mohar, B.: Face cover and the genus problem for apex graphs. J. Comb. Theory Ser. B 82, 102–117 (2001)

    Article  MathSciNet  Google Scholar 

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Correspondence to Zhidan Feng .

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Feng, Z., Fernau, H., Mann, K., Qi, X. (2024). Offensive Alliances in Signed Graphs. In: Chen, X., Li, B. (eds) Theory and Applications of Models of Computation. TAMC 2024. Lecture Notes in Computer Science, vol 14637. Springer, Singapore. https://doi.org/10.1007/978-981-97-2340-9_20

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  • DOI: https://doi.org/10.1007/978-981-97-2340-9_20

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