On Tractable Cases of Target Set Selection

  • André Nichterlein
  • Rolf Niedermeier
  • Johannes Uhlmann
  • Mathias Weller
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6506)


We study the NP-complete Target Set Selection (TSS) problem occurring in social network analysis. Complementing results on its approximability and extending results for its restriction to trees and bounded treewidth graphs, we classify the influence of the parameters “diameter”, “cluster edge deletion number”, “vertex cover number”, and “feedback edge set number” of the underlying graph on the problem’s complexity, revealing both tractable and intractable cases. For instance, even for diameter-two split graphs TSS remains very hard. TSS can be efficiently solved on graphs with small feedback edge set number and also turns out to be fixed-parameter tractable when parameterized by the vertex cover number, both results contrasting known parameterized intractability results for the parameter treewidth. While these tractability results are relevant for sparse networks, we also show efficient fixed-parameter algorithms for the parameter cluster edge deletion number, yielding tractability for certain dense networks.


Vertex Cover Input Graph Reduction Rule Split Graph Problem Kernel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • André Nichterlein
    • 1
  • Rolf Niedermeier
    • 1
  • Johannes Uhlmann
    • 1
  • Mathias Weller
    • 1
  1. 1.Institut für InformatikFriedrich-Schiller-Universität JenaJenaGermany

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