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  1. Dynamical Criticality in Gene Regulatory Networks.Marco Villani, Luca La Rocca, Stuart Alan Kauffman & Roberto Serra - 2018 - Complexity 2018:1-14.
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  • A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks.Omar K. Pineda, Hyobin Kim & Carlos Gershenson - 2019 - Complexity 2019:1-10.
    Antifragility is a property from which systems are able to resist stress and furthermore benefit from it. Even though antifragile dynamics is found in various real-world complex systems where multiple subsystems interact with each other, the attribute has not been quantitatively explored yet in those complex systems which can be regarded as multilayer networks. Here we study how the multilayer structure affects the antifragility of the whole system. By comparing single-layer and multilayer Boolean networks based on our recently proposed antifragility (...)
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  • The sigma profile: A formal tool to study organization and its evolution at multiple scales.Carlos Gershenson - 2011 - Complexity 16 (5):37-44.
    The σ profile is presented as a tool to analyze the organization of systems at different scales, and how this organization changes in time. Describing structures at different scales as goal‐oriented agents, one can define σ ∈ [0,1] (satisfaction) as the degree to which the goals of each agent at each scale have been met. σ reflects the organization degree at that scale. The σ profile of a system shows the satisfaction at different scales, with the possibility to study their (...)
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  • When slower is faster.Carlos Gershenson & Dirk Helbing - 2016 - Complexity 21 (2):9-15.
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  • Complexity and information: Measuring emergence, self‐organization, and homeostasis at multiple scales.Carlos Gershenson & Nelson Fernández - 2013 - Complexity 18 (2):29-44.
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