Something like, given a series of networks with different sets of vertex names, NetSeries() might:
- Obtain a maximal set of vertices over all the networks.
- Embed the given networks into it.
- Set a nodal attribute, e.g.,
active, to indicate which nodes are active in which time step.
- Add an
%ergmlhs% constraint egocentric(~!active) or similar.
- Set a nodal attribute, e.g.,
neophyte, to indicate which nodes were not active in the prior time step. This is something the end-user might put into their model.
@CarterButts , @smjenness , does this sound sensible? What's the state of the art for this?
Something like, given a series of networks with different sets of vertex names,
NetSeries()might:active, to indicate which nodes are active in which time step.%ergmlhs%constraintegocentric(~!active)or similar.neophyte, to indicate which nodes were not active in the prior time step. This is something the end-user might put into their model.@CarterButts , @smjenness , does this sound sensible? What's the state of the art for this?