Network Visualization for PhysioExperiment

Functions for visualizing functional connectivity networks including network graphs, adjacency matrices, and network metrics. Plot network graph

Usage

plotNetwork(
  adjacency,
  node_names = NULL,
  node_size = "degree",
  edge_threshold = 0,
  layout = c("circle", "spring", "grid"),
  node_color = "#3498db",
  edge_color = "#7f8c8d",
  title = "Network Graph"
)

Arguments

adjacency

An adjacency matrix or connectivity result.

node_names

Optional vector of node names.

node_size

Node size. Can be "degree", "betweenness", "eigenvector", or numeric.

edge_threshold

Minimum edge weight to display.

layout

Layout algorithm: "circle", "spring", or "grid".

node_color

Node color or vector of colors.

edge_color

Edge color.

title

Plot title.

Value

A ggplot object.

Details

Creates a network graph visualization with nodes and edges.

Examples

set.seed(123)
adj <- matrix(runif(16), 4, 4)
adj <- (adj + t(adj)) / 2
diag(adj) <- 0
plotNetwork(adj, node_names = c("Fz", "Cz", "Pz", "Oz"))