“…Analyzing the robustness of outcomes of decision processes has become more and more popular in algorithmic game theory over recent years [2,6,8,15,19,23,24,27]. For instance, in the context of hedonic games, Igarashi et al [16] studied stable outcomes that remain stable even after some agents have been deleted and, in the context of stable matching, Mai and Vazirani [20,21] and Chen et al [11] studied stable matchings that remain stable even if the agents' preferences partly change.…”