Abstract
A toy model to examine the effect of a heterogeneous edge weight structure on assortative mixing patterns is developed. This model is used as a benchmark to assess assortative mixing patterns in a real military personnel network describing occupation changes among recruits to the Canadian Armed Forces. Mixing patterns on the network suggest a strong tendency for members to transfer between different occupation groups; possible areas on which to focus retention strategies are identified.
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Notes
The Poisson random graph is also referred to as a Bernoulli graph or the Erdős–Rényi graph.
While the CAF is composed of over 100 occupations, not all occupations are included in our analysis. Several occupations are not present on the network as entry into these occupations requires the member to be at a stage in their career that is not obtainable within our five year time window. Examples of such are supervisory level occupations that require a member to have reached a certain rank in order to move into these occupations.
In a weakly connected component there exists a path between any two nodes on the network when edge direction is ignored. For the strongly connected component, the edge direction is considered when finding paths between any two nodes on the network.
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McDonald, C. Influence of heterogeneous edge weights on assortative mixing patterns in military personnel networks. Pattern Anal Applic 25, 35–46 (2022). https://doi.org/10.1007/s10044-021-01036-1
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DOI: https://doi.org/10.1007/s10044-021-01036-1