MODELING SOCIAL RESILIENCE: QUESTIONS, ANSWERS, OPEN PROBLEMS

Frank Schweitzer, Georges Andres, Giona Casiraghi, Christoph Gote, Ramona Roller, Ingo Scholtes, Giacomo Vaccario and Christian Zingg
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Frank Schweitzer: Chair of Systems Design, ETH Zurich, Switzerland†Complexity Science Hub, Vienna, Austria
Georges Andres: Chair of Systems Design, ETH Zurich, Switzerland
Giona Casiraghi: Chair of Systems Design, ETH Zurich, Switzerland
Christoph Gote: Chair of Systems Design, ETH Zurich, Switzerland‡Department of Informatics, University of Zurich, Switzerland
Ramona Roller: Chair of Systems Design, ETH Zurich, Switzerland
Ingo Scholtes: ��Department of Informatics, University of Zurich, Switzerland§Chair of Computer Science XV, Julius-Maximilians-Universität Würzburg, Germany
Giacomo Vaccario: Chair of Systems Design, ETH Zurich, Switzerland
Christian Zingg: Chair of Systems Design, ETH Zurich, Switzerland

Advances in Complex Systems (ACS), 2022, vol. 25, issue 08, 1-50

Abstract: Resilience denotes the capacity of a system to withstand shocks and its ability to recover from them. We develop a framework to quantify the resilience of highly volatile, non-equilibrium social organizations, such as collectives or collaborating teams. It consists of four steps: (i) delimitation, i.e. narrowing down the target systems, (ii) conceptualization, i.e. identifying how to approach social organizations, (iii) formal representation using a combination of agent-based and network models, (iv) operationalization, i.e. specifying measures and demonstrating how they enter the calculation of resilience. Our framework quantifies two dimensions of resilience, the robustness of social organizations and their adaptivity, and combines them in a novel resilience measure. It allows monitoring resilience instantaneously using longitudinal data instead of an ex-post evaluation.

Keywords: Network ensemble; social impact; structural balance; adaptivity; organization theory (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:25:y:2022:i:08:n:s021952592250014x

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DOI: 10.1142/S021952592250014X

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