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Table 1 Definition of predictor variables in the SAOM models

From: Building a communication and support network among quality improvement teams in nursing homes: a longitudinal study of the SCOPE trial

Effects

Explanation

Rate function

On average how many opportunities each actor gets to make a change during each time period

Out-degree

Network density

Reciprocity

Actors’ tendency to make reciprocated ties

in-degree popularity

The tendency of actors with high in-degree to attract extra incoming ties because of their high in-degree (popular people become even more popular)

Out-degree activity

The tendency of actors with high out-degree to send extra outgoing ties because of their high out-degree (active people become even more active)

Region alter

The likelihood of actors in the region X to attract incoming ties compared with actors in the reference region

Region same

Whether the 2 actors in the same region tend to create new ties between each other

Chain same

Whether the 2 actors in the same chain tend to create new ties between each other