The maximum clique interdiction problem
Furini, Fabio; Ljubić, Ivana; Martin, Sébastien; San Segundo, Pablo (2019), The maximum clique interdiction problem, European Journal of Operational Research, 277, 1, p. 112-127. 10.1016/j.ejor.2019.02.028
Type
Article accepté pour publication ou publiéDate
2019Journal name
European Journal of Operational ResearchVolume
277Number
1Publisher
Elsevier
Pages
112-127
Publication identifier
Metadata
Show full item recordAuthor(s)
Furini, FabioLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Ljubić, Ivana
ESSEC Business School
Martin, Sébastien

Laboratoire de Conception, Optimisation et Modélisation des Systèmes [LCOMS]
San Segundo, Pablo
autre
Abstract (EN)
Given a graph G and an interdiction budget k, the Maximum Clique Interdiction Problem asks to find a subset of at most k vertices to remove from G so that the size of the maximum clique in the remaining graph is minimized. This problem has applications in many areas, such as crime detection, prevention of outbreaks of infectious diseases and surveillance of communication networks. We propose an integer linear programming formulation of the problem based on an exponential family of Clique-Interdiction Cuts and we give necessary and sufficient conditions under which these cuts are facet-defining. Our new approach provides a useful tool for analyzing the resilience of (social) networks with respect to clique-interdiction attacks, i.e., the decrease of the size of the maximum clique as a function of an incremental interdiction budget level. On a benchmark set of publicly available instances, including large-scale social networks with up to one hundred thousand vertices and three million edges, we show that most of them can be analyzed and solved to proven optimality within short computing time.Subjects / Keywords
Combinatorial optimization; Interdiction problems; Maximum clique; (Social) Network analysis; Most vital verticesRelated items
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