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Vector Connectivity in Graphs

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Theory and Applications of Models of Computation (TAMC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7876))

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Abstract

Motivated by challenges related to domination, connectivity, and information propagation in social and other networks, we initiate the study of the Vector Connectivity problem. This problem takes as input a graph G and an integer k v for every vertex v of G, and the objective is to find a vertex subset S of minimum cardinality such that every vertex v either belongs to S, or is connected to at least k v vertices of S by disjoint paths. If we require each path to be of length exactly 1, we get the well-known Vector Domination problem, which is a generalization of the famous Dominating Set problem and several of its variants. Consequently, our problem becomes NP-hard if an upper bound on the length of the disjoint paths is also supplied as input. Due to the hardness of these domination variants even on restricted graph classes, like split graphs, Vector Connectivity seems to be a natural problem to study for drawing the boundaries of tractability for this type of problems. We show that Vector Connectivity can actually be solved in polynomial time on split graphs, in addition to cographs and trees. We also show that the problem can be approximated in polynomial time within a factor of ln n + 2 on all graphs.

This work is supported by the Research Council of Norway (197548/F20) and by the Slovenian Research Agency (research program P1–0285 and research projects J1–4010, J1–4021, BI-US/12–13–029 and N1–0011: GReGAS, supported in part by the European Science Foundation).

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References

  1. Chlebík, M., Chlebíkova, J.: Approximation hardness of dominating set problems in bounded degree graphs. Information and Computation 206, 1264–1275 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  2. Chen, N.: On the approximability of inuence in social networks. SIAM Journal on Discrete Mathematics 23, 1400–1415 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  3. Cicalese, F., Milanič, M., Vaccaro, U.: On the approximability and exact algorithms for vector domination and related problems in graphs. Discrete Applied Mathematics (2012), doi:10.1016/j.dam.2012.10.007

    Google Scholar 

  4. Corneil, D.G., Lerchs, H., Stewart Burlingham, L.: Complement reducible graphs. Discrete Applied Mathematics 3, 163–174 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  5. Corneil, D.G., Perl, Y., Stewart, L.K.: A linear recognition algorithm for cographs. SIAM J. Comput. 14, 926–934 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  6. Garey, M.R., Johnson, D.S.: Computers and Intractability. W.H. Freeman and Co., New York (1979)

    MATH  Google Scholar 

  7. Golumbic, M.C.: Algorithmic Graph Theory and Perfect Graphs, 2nd edn. Annals of Discrete Mathematics, vol. 57. Elsevier (2004)

    Google Scholar 

  8. Habib, M., Paul, C.: A simple linear time algorithm for cograph recognition. Discrete Applied Mathematics 145, 183–197 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  9. Hammer, P.L., Simeone, B.: The splittance of a graph. Combinatorica 1, 275–284 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  10. Harant, J., Prochnewski, A., Voigt, M.: On dominating sets and independent sets of graphs. Combinatorics, Probability and Computing 8, 547–553 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  11. Haynes, T.W., Hedetniemi, S., Slater, P.: Fundamentals of Domination in Graphs. Marcel Dekker, New York (1998)

    MATH  Google Scholar 

  12. Haynes, T.W., Hedetniemi, S., Slater, P.: Domination in Graphs: Advanced Topics. Marcel Dekker, New York (1998)

    Google Scholar 

  13. Kempe, D., Kleinberg, J., Tardos, E.: Maximizing the spread of inuence through a social network. In: Proc. 9th ACM KDD, pp. 137–146. ACM Press (2003)

    Google Scholar 

  14. Mahadev, N., Peled, U.: Threshold graphs and related topics. Annals of Discrete Mathematics 56 (1995)

    Google Scholar 

  15. Nichterlein, A., Niedermeier, R., Uhlmann, J., Weller, M.: On tractable cases of target set selection. Social Network Analysis and Mining (2012)

    Google Scholar 

  16. Schrijver, A.: Combinatorial Optimization. Polyhedra and Efficiency. Volumes A–C. Algorithms and Combinatorics, vol. 24. Springer, Berlin (2003)

    Google Scholar 

  17. Wolsey, L.A.: An analysis of the greedy algorithm for the submodular set covering problem. Combinatorica 2, 385–393 (1982)

    Article  MathSciNet  MATH  Google Scholar 

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Boros, E., Heggernes, P., van ’t Hof, P., Milanič, M. (2013). Vector Connectivity in Graphs. In: Chan, TH.H., Lau, L.C., Trevisan, L. (eds) Theory and Applications of Models of Computation. TAMC 2013. Lecture Notes in Computer Science, vol 7876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38236-9_30

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  • DOI: https://doi.org/10.1007/978-3-642-38236-9_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38235-2

  • Online ISBN: 978-3-642-38236-9

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