Skip to main content

Parameterized Algorithms for Module Map Problems

  • Conference paper
  • First Online:
Book cover Combinatorial Optimization (ISCO 2018)

Abstract

We introduce and study the NP-hard Module Map problem which has as input a graph G with red and blue edges and asks to transform G by at most k edge modifications into a graph which does not contain a two-colored \(K_3\), that is, a triangle with two blue edges and one red edge, a blue \(P_3\), that is, a path on three vertices with two blue edges, and a two-colored \(P_3\), that is, a path on three vertices with one blue and one red edge, as induced subgraph. We show that Module Map can be solved in \(\mathcal {O}(2^k \cdot n^3)\) time on n-vertex graphs and present a problem kernelization with \(\mathcal {O}(k^2)\) vertices.

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 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
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

References

  1. Agrawal, A., Lokshtanov, D., Mouawad, A.E., Saurabh, S.: Simultaneous feedback vertex set: a parameterized perspective. In: Proceedings of 33rd STACS. LIPIcs, vol. 47, pp. 7:1–7:15. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik (2016)

    Google Scholar 

  2. Amar, D., Shamir, R.: Constructing module maps for integrated analysis of heterogeneous biological networks. Nucleic Acids Res. 42(7), 4208–4219 (2014)

    Article  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  4. van Bevern, R., Froese, V., Komusiewicz, C.: Parameterizing edge modification problems above lower bounds. Theory Comput. Syst. 62(3), 739–770 (2018)

    Article  MathSciNet  Google Scholar 

  5. Böcker, S., Briesemeister, S., Bui, Q.B.A., Truß, A.: Going weighted: parameterized algorithms for cluster editing. Theor. Comput. Sci. 410(52), 5467–5480 (2009)

    Article  MathSciNet  Google Scholar 

  6. Böcker, S., Briesemeister, S., Klau, G.W.: Exact algorithms for cluster editing: evaluation and experiments. Algorithmica 60(2), 316–334 (2011)

    Article  MathSciNet  Google Scholar 

  7. Bredereck, R., Komusiewicz, C., Kratsch, S., Molter, H., Niedermeier, R., Sorge, M.: Assessing the computational complexity of multi-layer subgraph detection. In: Fotakis, D., Pagourtzis, A., Paschos, V.T. (eds.) CIAC 2017. LNCS, vol. 10236, pp. 128–139. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-57586-5_12

    Chapter  MATH  Google Scholar 

  8. Chen, J., Molter, H., Sorge, M., Suchý, O.: A parameterized view on multi-layer cluster editing. CoRR abs/1709.09100 (2017)

    Google Scholar 

  9. Downey, R.G., Fellows, M.R.: Fundamentals of Parameterized Complexity. Texts in Computer Science. Springer, London (2013). https://doi.org/10.1007/978-1-4471-5559-1

    Book  MATH  Google Scholar 

  10. Fomin, F.V., Kratsch, D.: Exact Exponential Algorithms. Texts in Theoretical Computer Science. An European Association for Theoretical Computer Science Series. Springer, Heidelberg (2010)

    Book  Google Scholar 

  11. Fomin, F.V., Kratsch, S., Pilipczuk, M., Pilipczuk, M., Villanger, Y.: Tight bounds for parameterized complexity of cluster editing. In: STACS. LIPIcs, vol. 20, pp. 32–43. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik (2013)

    Google Scholar 

  12. Gramm, J., Guo, J., Hüffner, F., Niedermeier, R.: Graph-modeled data clustering: exact algorithms for clique generation. Theory Comput. Syst. 38(4), 373–392 (2005)

    Article  MathSciNet  Google Scholar 

  13. Hartung, S., Hoos, H.H.: Programming by optimisation meets parameterised algorithmics: a case study for cluster editing. In: Dhaenens, C., Jourdan, L., Marmion, M.-E. (eds.) LION 2015. LNCS, vol. 8994, pp. 43–58. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19084-6_5

    Chapter  Google Scholar 

  14. Itai, A., Rodeh, M.: Finding a minimum circuit in a graph. SIAM J. Comput. 7(4), 413–423 (1978)

    Article  MathSciNet  Google Scholar 

  15. Kivelä, M., Arenas, A., Barthelemy, M., Gleeson, J.P., Moreno, Y., Porter, M.A.: Multilayer networks. J. Complex Netw. 2(3), 203–271 (2014)

    Article  Google Scholar 

  16. Komusiewicz, C., Uhlmann, J.: Cluster editing with locally bounded modifications. Discrete Appl. Math. 160(15), 2259–2270 (2012)

    Article  MathSciNet  Google Scholar 

  17. Krivánek, M., Morávek, J.: NP-hard problems in hierarchical-tree clustering. Acta Informatica 23(3), 311–323 (1986)

    Article  MathSciNet  Google Scholar 

  18. Shamir, R., Sharan, R., Tsur, D.: Cluster graph modification problems. Discrete Appl. Math. 144(1–2), 173–182 (2004)

    Article  MathSciNet  Google Scholar 

  19. Ulitsky, I., Shlomi, T., Kupiec, M., Shamir, R.: From E-maps to module maps: dissecting quantitative genetic interactions using physical interactions. Mol. Syst. Biol. 4(1), 209 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Frank Sommer or Christian Komusiewicz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sommer, F., Komusiewicz, C. (2018). Parameterized Algorithms for Module Map Problems. In: Lee, J., Rinaldi, G., Mahjoub, A. (eds) Combinatorial Optimization. ISCO 2018. Lecture Notes in Computer Science(), vol 10856. Springer, Cham. https://doi.org/10.1007/978-3-319-96151-4_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-96151-4_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96150-7

  • Online ISBN: 978-3-319-96151-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics