@misc{schweitzer2022modeling,
  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) \emph{delimitation},
i.e., narrowing down the target systems, (ii) \emph{conceptualization}, .e.,
identifying how to approach social organizations, (iii) formal
\emph{representation} using a combination of agent-based and network models,
(iv) \emph{operationalization}, i.e. specifying measures and demonstrating how
they enter the calculation of resilience. Our framework quantifies two
dimensions of resilience, the \emph{robustness} of social organizations and
their \emph{adaptivity}, and combines them in a novel resilience measure. It
allows monitoring resilience instantaneously using longitudinal data instead of
an ex-post evaluation.},
  added-at = {2023-01-23T10:30:12.000+0100},
  author = {Schweitzer, Frank and Andres, Georges and Casiraghi, Giona and Gote, Christoph and Roller, Ramona and Scholtes, Ingo and Vaccario, Giacomo and Zingg, Christian},
  biburl = {https://www.bibsonomy.org/bibtex/2f3965328803227bfb621f002c73fa32d/ifland},
  interhash = {d07343a206d14f853981b8649a6a2b59},
  intrahash = {f3965328803227bfb621f002c73fa32d},
  keywords = {caidas-area-css},
  note = {cite arxiv:2301.00183},
  timestamp = {2023-01-23T10:30:12.000+0100},
  title = {Modeling social resilience: Questions, answers, open problems},
  url = {http://arxiv.org/abs/2301.00183},
  year = 2022
}