These functions return logical vectors the length of the nodes in a network identifying which hold certain properties or positions in the network.
node_is_infected() marks nodes that are infected by a particular time point.
node_is_exposed() marks nodes that are exposed to a given (other) mark.
node_is_latent() marks nodes that are latent at a particular time point.
node_is_recovered() marks nodes that are recovered at a particular time point.
node_is_latent(diff_model, time =0)node_is_infected(diff_model, time =0)node_is_recovered(diff_model, time =0)node_is_exposed(.data, mark)
Arguments
diff_model: A diff_model object, created either by play_diffusion() or as_diffusion().
time: A time step at which nodes are identified.
.data: An object of a manynet-consistent class:
matrix (adjacency or incidence) from {base} R
edgelist, a data frame from {base} R or tibble from {tibble}
igraph, from the {igraph} package
network, from the {network} package
tbl_graph, from the {tidygraph} package
mark: vector denoting which nodes are infected
Exposed
node_is_exposed() is similar to node_exposure(), but returns a mark (TRUE/FALSE) vector indicating which nodes are currently exposed to the diffusion content. This diffusion content can be expressed in the 'mark' argument. If no 'mark' argument is provided, and '.data' is a diff_model object, then the function will return nodes exposure to the seed nodes in that diffusion.
Examples
# To mark nodes that are latent by a particular time point node_is_latent(play_diffusion(create_tree(6), latency =1), time =1)# To mark nodes that are infected by a particular time point node_is_infected(play_diffusion(create_tree(6)), time =1)# To mark nodes that are recovered by a particular time point node_is_recovered(play_diffusion(create_tree(6), recovery =0.5), time =3)# To mark which nodes are currently exposed(expos <- node_is_exposed(manynet::create_tree(14), mark = c(1,3))) which(expos)
See Also
Other marks: mark_nodes, mark_select, mark_tie_select, mark_ties, mark_triangles