Using network analysis to identify leverage points based on causal loop diagrams leads to false inference.

ABSTRACT: Network analysis is gaining momentum as an accepted practice to identify which factors in causal loop diagrams (CLDs)-mental models that graphically represent causal relationships between a system's factors-are most likely to shift system-level behaviour, known as leverage points. This application of network analysis, employed to quantitatively identify leverage points without having to use computational modelling approaches that translate CLDs into sets of mathematical equations, has however not been duly reflected upon. We evaluate whether using commonly applied network analysis metrics to identify leverage points is justified, focusing on betweenness- and closeness centrality. First, we assess whether the metrics identify the same leverage points based on CLDs that represent the same sy

SUBMITTER: Crielaard L 

PROVIDER: S-EPMC10687004 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature