Measuring system resilience through a comparison of information- and flow-based network analyses.

ABSTRACT: Quantifying the properties of complex, self-organizing systems is increasingly important for understanding the development and state of modern systems. Case studies have recommended sustainability frameworks predominately in literature, but little emphasis has been placed on methodological evaluation. Data availability is often an obstacle that constrains conventional flow-based network analysis, but a novel information-based technique (QtAC) developed by zu Castell and Schrenk overcomes these constraints by modelling interactions between agents as information transfers. This study compares the QtAC method to conventional flow analysis by applying both to the same 90-year dataset containing socio-economic data from the island of Samothraki, Greece. Resilience indicators, based on Ulanowicz

SUBMITTER: Hyde G 

PROVIDER: S-EPMC11252444 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature