A simulation code for the model of evolving open system with temporal inactivation from Temporal inactivation enhances robustness in an evolving system
datasetposted on 05.02.2019 by Fumiko Ogushi, János Kertész, Kimmo Kaski, Takashi Shimada
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We study the robustness of an evolving system that is driven by successive inclusions of new elements or constituents with m random interactions to older ones. Each constitutive element in the model stays either active or is temporarily inactivated depending upon the influence of the other active elements. If the time spent by an element in the inactivated state reaches TW, it gets extinct. The phase diagram of this dynamic model as a function of m and TW is investigated by numerical and analytical methods and as a result both growing (robust) as well as non-growing (volatile) phases are identified. It is also found that larger time limit TW enhances the system’s robustness against the inclusion of new elements, mainly due to the system’s increased ability to reject ‘falling-together’ type attacks. Our results suggest that the ability of an element to survive in an unfavourable situation for a while, either as a minority or in a dormant state, could improve the robustness of the entire system.