Temporal inactivation enhances robustness in an evolving system

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Temporal inactivation enhances robustness in an evolving system. / Ogushi, Fumiko; Kertész, János; Kaski, Kimmo; Shimada, Takashi.

julkaisussa: Royal Society Open Science, Vuosikerta 6, Nro 2, 181471, 01.02.2019, s. 1-12.

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Bibtex - Lataa

@article{a3e003a649b842e0a50db9bd97718807,
title = "Temporal inactivation enhances robustness in an evolving system",
abstract = "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 T W , it gets extinct. The phase diagram of this dynamic model as a function of m and T W 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 T W 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.",
keywords = "Dormancy, Evolutionary dynamics, Extinctions, Network models, Robustness",
author = "Fumiko Ogushi and J{\'a}nos Kert{\'e}sz and Kimmo Kaski and Takashi Shimada",
note = "| openaire: EC/H2020/662725/EU//IBSEN | openaire: EC/H2020/654024/EU//SoBigData",
year = "2019",
month = "2",
day = "1",
doi = "10.1098/rsos.181471",
language = "English",
volume = "6",
pages = "1--12",
journal = "Royal Society Open Science",
issn = "2054-5703",
number = "2",

}

RIS - Lataa

TY - JOUR

T1 - Temporal inactivation enhances robustness in an evolving system

AU - Ogushi, Fumiko

AU - Kertész, János

AU - Kaski, Kimmo

AU - Shimada, Takashi

N1 - | openaire: EC/H2020/662725/EU//IBSEN | openaire: EC/H2020/654024/EU//SoBigData

PY - 2019/2/1

Y1 - 2019/2/1

N2 - 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 T W , it gets extinct. The phase diagram of this dynamic model as a function of m and T W 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 T W 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.

AB - 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 T W , it gets extinct. The phase diagram of this dynamic model as a function of m and T W 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 T W 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.

KW - Dormancy

KW - Evolutionary dynamics

KW - Extinctions

KW - Network models

KW - Robustness

UR - http://www.scopus.com/inward/record.url?scp=85062785440&partnerID=8YFLogxK

U2 - 10.1098/rsos.181471

DO - 10.1098/rsos.181471

M3 - Article

VL - 6

SP - 1

EP - 12

JO - Royal Society Open Science

JF - Royal Society Open Science

SN - 2054-5703

IS - 2

M1 - 181471

ER -

ID: 32621806