بنقرة واحدة
ndtv
R ndtv package for network animation. Use for visualizing and animating dynamic networks.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
R ndtv package for network animation. Use for visualizing and animating dynamic networks.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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| name | ndtv |
| description | R ndtv package for network animation. Use for visualizing and animating dynamic networks. |
Network dynamic temporal visualization.
library(ndtv)
# Compute layout for animation
compute.animation(dnet,
animation.mode = "kamadakawai",
slice.par = list(
start = 0,
end = 10,
interval = 1,
aggregate.dur = 1
))
# HTML/D3 animation
render.d3movie(dnet, filename = "network.html")
# GIF animation
render.animation(dnet, filename = "network.gif")
# Video
render.animation(dnet, filename = "network.mp4",
ani.options = list(interval = 0.1))
render.d3movie(dnet,
# Vertex appearance
vertex.col = "blue",
vertex.cex = 1.5,
vertex.sides = 50, # Circle
# Edge appearance
edge.col = "gray",
edge.lwd = 1,
# Labels
displaylabels = TRUE,
label.cex = 0.8,
label.col = "black",
# Output
filename = "network.html",
output.mode = "htmlWidget"
)
# Color by attribute
render.d3movie(dnet,
vertex.col = function(slice) {
get.vertex.attribute(slice, "group")
})
# Size by degree
render.d3movie(dnet,
vertex.cex = function(slice) {
degree(slice) / 5
})
# Add timeline
timeline(dnet,
slice.par = list(start = 0, end = 10, interval = 1))
# Filmstrip view
filmstrip(dnet, displaylabels = TRUE)
# Available modes
compute.animation(dnet, animation.mode = "kamadakawai")
compute.animation(dnet, animation.mode = "MDSJ")
compute.animation(dnet, animation.mode = "Graphviz")
compute.animation(dnet, animation.mode = "useAttribute")
# Proximity timeline plot
proximity.timeline(dnet,
default.dist = 10,
mode = "sammon")
# Export individual frames
for (t in 0:10) {
net_t <- network.extract(dnet, at = t)
png(paste0("frame_", t, ".png"))
plot(net_t)
dev.off()
}