Skip to main content

Algorithms and Complexity of s-Club Cluster Vertex Deletion

  • Conference paper
  • First Online:
Combinatorial Algorithms (IWOCA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12757))

Included in the following conference series:

Abstract

An s-club is a graph which has diameter at most s. Let G be a graph. A set of vertices \(D\subseteq V(G)\) is an s-club deleting (s -CD) set if each connected component of \(G-D\) is an s-club. In the s -Club Cluster Vertex Deletion (s -CVD) problem, the goal is to find an s-CD set with minimum cardinality. When \(s=1\), the s -CVD is equivalent to the well-studied Cluster Vertex Deletion problem. On the negative side, we show that unless the Unique Games Conjecture is false, there is no \((2-\epsilon )\)-algorithm for 2-CVD on split graphs, for any \(\epsilon > 0\). This contrast the polynomial-time solvability of Cluster Vertex Deletion on split graphs. We show that for each \(s\ge 2\), s-CVD is NP-hard on bounded degree planar bipartite graphs and APX-hard on bounded degree bipartite graphs. On the positive side, we give a polynomial-time algorithm to solve s-CVD on trapezoid graphs, for each \(s\ge 1\).

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
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

Institutional subscriptions

Notes

  1. 1.

    Let H be a graph and E(H) be the edge set of H. A transitive orientation of H is an orientation of the edges in E(H) such that if \((a,b),(b,c) \in E(G)\) and are oriented from a to b and b to c respectively then \((a,c) \in E(H)\) and is oriented from a to c.

  2. 2.

    Such representation of trapezoid graphs are possible, see [9].

References

  1. Alimonti, P., Kann, V.: Hardness of approximating problems on cubic graphs. In: Bongiovanni, G., Bovet, D.P., Di Battista, G. (eds.) CIAC 1997. LNCS, vol. 1203, pp. 288–298. Springer, Heidelberg (1997). https://doi.org/10.1007/3-540-62592-5_80

    Chapter  Google Scholar 

  2. Asahiro, Y., Miyano, E., Samizo, K.: Approximating maximum diameter-bounded subgraphs. In: López-Ortiz, A. (ed.) LATIN 2010. LNCS, vol. 6034, pp. 615–626. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12200-2_53

    Chapter  Google Scholar 

  3. Balasundaram, B., Butenko, S., Trukhanov, S.: Novel approaches for analyzing biological networks. J. Comb. Optim. 10(1), 23–39 (2005)

    Article  MathSciNet  Google Scholar 

  4. Bera, D., Pal, M., Pal, T.K.: An efficient algorithm for finding all hinge vertices on trapezoid graphs. Theor. Comput. Syst. 36(1), 17–27 (2003)

    Article  MathSciNet  Google Scholar 

  5. Bodlaender, H.L., Kloks, T., Kratsch, D., Müller, H.: Treewidth and minimum fill-in on d-trapezoid graphs. In: Graph Algorithms And Applications I, pp. 139–161. World Scientific (2002)

    Google Scholar 

  6. Cao, Y., Ke, Y., Otachi, Y., You, J.: Vertex deletion problems on chordal graphs. Theor. Comput. Sci. 745, 75–86 (2018)

    Article  MathSciNet  Google Scholar 

  7. Chang, M., Hung, L., Lin, C., Su, P.: Finding large \(k\)-clubs in undirected graphs. Computing 95(9), 739–758 (2013)

    Article  MathSciNet  Google Scholar 

  8. Damaschke, P.: Distances in cocomparability graphs and their powers. Discrete Appl. Math. 35(1), 67–72 (1992)

    Article  MathSciNet  Google Scholar 

  9. Felsner, S., Müller, R., Wernisch, L.: Trapezoid graphs and generalizations, geometry and algorithms. In: Schmidt, E.M., Skyum, S. (eds.) SWAT 1994. LNCS, vol. 824, pp. 143–154. Springer, Heidelberg (1994). https://doi.org/10.1007/3-540-58218-5_13

    Chapter  Google Scholar 

  10. Figiel, A., Himmel, A., Nichterlein, A., Niedermeier, R.: On 2-clubs in graph-based data clustering: theory and algorithm engineering. arXiv preprint arXiv:2006.14972 (2020)

  11. Garey, M., Johnson, D.: Computers and Intractability: A Guide to the Theory of NP-Completeness (1978)

    Google Scholar 

  12. Hartung, S., Komusiewicz, C., Nichterlein, A., Suchỳ, O.: On structural parameterizations for the 2-club problem. Discrete Appl. Math. 185, 79–92 (2015)

    Article  MathSciNet  Google Scholar 

  13. Hota, M., Pal, M., Pal, T.K.: An efficient algorithm for finding a maximum weight k-independent set on trapezoid graphs. Comput. Optim. Appl. 18(1), 49–62 (2001)

    Article  MathSciNet  Google Scholar 

  14. Hüffner, F., Komusiewicz, C., Moser, H., Niedermeier, R.: Fixed-parameter algorithms for cluster vertex deletion. Theor. Comput. Syst. 47(1), 196–217 (2010)

    Article  MathSciNet  Google Scholar 

  15. Khot, S., Regev, O.: Vertex cover might be hard to approximate to within 2- \(\varepsilon \). J. Comput. Syst. Sci. 74(3), 335–349 (2008)

    Article  MathSciNet  Google Scholar 

  16. Köhler, E., Mouatadid, L.: Linear time LexDFS on cocomparability graphs. In: Ravi, R., Gørtz, I.L. (eds.) SWAT 2014. LNCS, vol. 8503, pp. 319–330. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-08404-6_28

    Chapter  Google Scholar 

  17. Köhler, E., Mouatadid, L.: A linear time algorithm to compute a maximum weighted independent set on cocomparability graphs. Inf. Process. Lett. 116(6), 391–395 (2016)

    Article  MathSciNet  Google Scholar 

  18. Kratsch, D., McConnell, R.M., Mehlhorn, K., Spinrad, J.P.: Certifying algorithms for recognizing interval graphs and permutation graphs. SIAM J. Comput. 36(2), 326–353 (2006)

    Article  MathSciNet  Google Scholar 

  19. Lewis, J.M., Yannakakis, M.: The node-deletion problem for hereditary properties is NP-complete. J. Comput. Syst. Sci. 20(2), 219–230 (1980)

    Article  MathSciNet  Google Scholar 

  20. Liu, H., Zhang, P., Zhu, D.: On editing graphs into 2-club clusters. In: Snoeyink, J., Lu, P., Su, K., Wang, L. (eds.) AAIM/FAW -2012. LNCS, vol. 7285, pp. 235–246. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-29700-7_22

    Chapter  Google Scholar 

  21. Mertzios, G.B.: The recognition of triangle graphs. Theor. Comput. Sci. 438, 34–47 (2012)

    Article  MathSciNet  Google Scholar 

  22. Pasupuleti, S.: Detection of protein complexes in protein interaction networks using n-clubs. In: Marchiori, E., Moore, J.H. (eds.) EvoBIO 2008. LNCS, vol. 4973, pp. 153–164. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-78757-0_14

    Chapter  Google Scholar 

  23. Sau, I., Souza, U.S.: Hitting forbidden induced subgraphs on bounded treewidth graphs. arXiv preprint arXiv:2004.08324 (2020)

  24. Schäfer, A.: Exact algorithms for s-club finding and related problems. PhD thesis, Friedrich-Schiller-University Jena (2009)

    Google Scholar 

  25. Schäfer, A., Komusiewicz, C., Moser, H., Niedermeier, R.: Parameterized computational complexity of finding small-diameter subgraphs. Optim. Lett. 6(5), 883–891 (2012)

    Article  MathSciNet  Google Scholar 

  26. Takaoka, A.: A recognition algorithm for simple-triangle graphs. Discrete Appl. Math. 282, 196–207 (2020)

    Article  MathSciNet  Google Scholar 

  27. Yannakakis, M.: Node-and edge-deletion NP-complete problems. In: Proceedings of the Tenth Annual ACM Symposium on Theory of Computing, pp. 253–264 (1978)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Raji R. Pillai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chakraborty, D., Chandran, L.S., Padinhatteeri, S., Pillai, R.R. (2021). Algorithms and Complexity of s-Club Cluster Vertex Deletion. In: Flocchini, P., Moura, L. (eds) Combinatorial Algorithms. IWOCA 2021. Lecture Notes in Computer Science(), vol 12757. Springer, Cham. https://doi.org/10.1007/978-3-030-79987-8_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-79987-8_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79986-1

  • Online ISBN: 978-3-030-79987-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics