| plot_network_sim {SeqNet} | R Documentation |
Plot the similarity between two networks
Description
This function plots the similarity of connections between two networks.
Both networks must be weighted. The width of each edge corresponds to
the strength of similarity and is calculated by sqrt(abs((s1 + s2)s1s2)),
where s1 and s2 are the weights for a particular
connection in network_1 and network_2, respectively
Usage
plot_network_sim(network_1, network_2, compare_graph = NULL, ...)
Arguments
network_1 |
A weighted 'network' or 'matrix' object. |
network_2 |
A weighted 'network' or 'matrix' object. |
compare_graph |
The plot of another network to use for comparison. |
... |
Additional arguments passed to |
Value
Creates a plot of the network and returns a graph object.
The graph object can be passed back into a future call of
plot_network, plot_network_diff or
plot_network_sim through the compare_edge argument,
which will setup the plot for easier comparison between the old graph and
the graph of network.
Examples
# Create two networks, the second being a perturbation of the first.
nw1 <- random_network(20)
nw2 <- perturb_network(nw1, n_nodes = 5)
nw1 <- gen_partial_correlations(nw1)
nw2 <- gen_partial_correlations(nw2)
# Can compare networks by plotting each using the same layout.
g <- plot(nw1)
plot(nw2, g)
# Or, plot the differential network or similarity network
plot_network_diff(nw1, nw2, g)
plot_network_sim(nw1, nw2, g)
# Note the behavior when both networks are the same.
plot_network_diff(nw1, nw1, g) # No differences produces an empty network
plot_network_sim(nw1, nw1, g) # Edge widths are still scaled by connection strength.