@conference {1499562,
	title = {Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks },
	booktitle = {International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19)},
	year = {2019},
	abstract = {We consider the problem of selecting a subset of nodes (individuals)in a (social) network that can act as monitors capable of {\textquotedblleft}watchingout{\textquotedblright} for their neighbors (friends) when the availability or performance of the chosen monitors is uncertain. Such problems arisefor example in the context of {\textquotedblleft}Gatekeeper Trainings{\textquotedblright} for suicideprevention. We formulate this problem as a two-stage robust optimization problem that aims to maximize the worst-case number ofcovered nodes. Our model is capable of incorporating domain specific constraints, e.g., fairness constraints. We propose a practicallytractable approximation scheme and we provide empirical resultsthat demonstrate the effectiveness of our approach.},
	author = {Rahmattalabi, Aida and Vayanos, Phebe and Fulginiti, Anthony and Tambe, Milind}
}
