networkDynamic R visualization call incorrectly vertex attribute on reconciled time periods

Question

I want to visualize and analize a networkDynamic object using R. After creating it:

NetDyn.dynACCP <- networkDynamic(base.net=NetAccionCP, edge.spells=esUS2)
NetDyn.dynACCP
class(NetDyn.dynACCP)

I proceeded to visualize it:

render.d3movie(NetDyn.dynACCP, displaylabels=FALSE, bg="#ffffff", 
               vertex.border="#333333", vertex.col=vertex, usearrows = TRUE, 
               vertex.cex = 0.3,
               render.par=list(tween.frames=5, show.time = TRUE), script.type="remoteSrc")

with success, however, at this point there appear all nodes even though they become active on a later time period. To collapse the network depending on the edge activity I used the function reconcile.vertex.activity, by this way the vertices become active only when they have edges activated. Nontheless, the vertex.attribute called color based on a type of the nodes turn to be messed. I mean messed, because attributes of some nodes are shifted to other nodes, as a result, they are turned into false.

reconGraphACCP <- reconcile.vertex.activity(NetDyn.dynACCP, mode="expand.to.edges")
reconGraphACCP

I tried to correct this by adding TEAS or dynamic attributes to the object:

NetDyn.dynACCP <- networkDynamic(base.net=NetAccionCP, edge.spells=esUS2, 
                   vertex.spells=vsUS2, create.TEAs = TRUE, vertex.TEA.names = 'tipoActor')
NetDyn.dynACCP
class(NetDyn.dynACCP)

for this, I also include vertex.spells with the vertex attribute, now color as color.active,

Dynamic (TEA) attributes, Vertex TEAs: animation.x.active, animation.y.active, color.active

Nevertheless, I still cannot make the vertex attribute color.active to match the correspondent nodes at the visualization. The same happens if I used the function network.extract to analyze a determinate time period:

plot(network.extract(reconGraphACCP, onset=1992, terminus=1999), 
     main="1992-1999", vertex.col=color.active)

I would appreciate any help at this point.