@article {10.7717/peerj.8533,
	title = {Ecosystem antifragility: beyond integrity and resilience},
	journal = {PeerJ},
	volume = {8},
	year = {2020},
	pages = {e8533},
	abstract = {We review the concept of ecosystem resilience in its relation to ecosystem integrity from an information theory approach. We summarize the literature on the subject identifying three main narratives: ecosystem properties that enable them to be more resilient; ecosystem response to perturbations; and complexity. We also include original ideas with theoretical and quantitative developments with application examples. The main contribution is a new way to rethink resilience, that is mathematically formal and easy to evaluate heuristically in real-world applications: ecosystem antifragility. An ecosystem is antifragile if it benefits from environmental variability. Antifragility therefore goes beyond robustness or resilience because while resilient/robust systems are merely perturbation-resistant, antifragile structures not only withstand stress but also benefit from it.},
	keywords = {Antifragility, Complexity, Ecosystem integrity, Resilience},
	issn = {2167-8359},
	doi = {10.7717/peerj.8533},
	url = {https://doi.org/10.7717/peerj.8533},
	author = {Equihua, Miguel and Espinosa Aldama, Mariana and Gershenson, Carlos and L{\'o}pez-Corona, Oliver and Mungu{\'\i}a, Mariana and P{\'e}rez-Maqueo, Octavio and Ram{\'\i}rez-Carrillo, Elvia}
}
@article {Escobar2019,
	title = {Effects of Antimodularity and Multiscale Influence in Random Boolean Networks},
	journal = {Complexity},
	volume = {2019},
	year = {2019},
	pages = {14},
	type = {10.1155/2019/8209146},
	url = {https://doi.org/10.1155/2019/8209146},
	author = {Escobar, Luis A. and Kim, Hyobin and Gershenson, Carlos}
}
@article {10.1371/journal.pcbi.1007517,
	title = {Efficient sentinel surveillance strategies for preventing epidemics on networks},
	journal = {PLOS Computational Biology},
	volume = {15},
	number = {11},
	year = {2019},
	month = {11},
	pages = {1-19},
	publisher = {Public Library of Science},
	abstract = {Author summary In a network of individuals susceptible to some infectious disease, what are the best locations to monitor in order to detect the infection before most damage can be done? In this paper we address this question by considering various heuristic strategies for sentinel placement that can potentially be implemented in real-world situations without requiring excessive amounts of computation, or even having perfect data about the structure of the network. We find that strategies that attempt to distribute sentinels over different regions of the network perform best in highly modular or spatially embedded networks, whereas the strategy of targeting the most well connected individuals works best when there is a considerable amount of contact heterogeneity between individuals. Our results may be used as a guideline to help decide when certain strategies should, or should not, be implemented.},
	doi = {10.1371/journal.pcbi.1007517},
	url = {https://doi.org/10.1371/journal.pcbi.1007517},
	author = {Colman, Ewan and Holme, Petter and Sayama, Hiroki and Gershenson, Carlos}
}
