Abstract
We consider the critical node detection problem (CNDP) in directed graphs. Given a directed graph G and a parameter k, we wish to remove a subset S of at most k vertices of G such that the residual graph G n S has minimum pairwise strong connectivity. This problem is NP-hard, and thus we are interested in practical heuristics. We present a sophisticated linear-time algorithm for the k = 1 case, and, based on this algorithm, give an efficient heuristic for the general case. Then, we conduct a thorough experimental evaluation of various heuristics for CNDP. Our experimental results suggest that our heuristic performs very well in practice, both in terms of running time and of solution quality.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.