Table 1.
Structural network measures and their proposed interpretation for causal loop diagrams and intervention planning.
Fig 1.
Individual node metrics: In-degree, Out-degree and Betweenness centrality interpretations for a causal loop diagram.
Fig 2.
Community developed CLD of obesity drivers displayed as a directed network.
Table 2.
Summary of network statistics for the CLD.
Fig 3.
Distribution of node in and out degree (number of in and out bound edges for each node) for the community developed obesity CLD.
Fig 4.
A summary of the relationships to and from the variables with the highest in-degree and out-degree in the system, respectively.
Fig 5.
Variables with the highest betweenness centrality- the ‘mediators’ of the causal loop diagram shown (a) by node size in the network, (b) the distribution of values and (c) a table of values for nodes with the highest betweenness centrality.