操作化
概念化
弹性(材料科学)
稳健性(进化)
计算机科学
代表(政治)
理论计算机科学
人工智能
政治学
认识论
基因
物理
哲学
热力学
化学
法学
政治
生物化学
作者
Frank Schweitzer,Georges Andres,Giona Casiraghi,Christoph Gote,Ramona Roller,Ingo Scholtes,Giacomo Vaccario,Christian Zingg
标识
DOI:10.1142/s021952592250014x
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI