Author: Modesto Escobar, David Barrios, Carlos Prieto (University of Salamanca)
Date: 2026-01-09

# rD3plot

#### Modesto Escobar, David Barrios, Carlos Prieto (University of Salamanca)

#### 2026-01-09

# Visual Analytics Networks with rD3plot

## Description

The `rD3plot` package represents and manages information from a database over a network. It also allows visualization of the temporal evolution or periodic changes of the added elements.

Components:

- Nodes/Links: Shapes, Images, Links.
- Information: Table, Name, Tooltip, Information Window.
- Utilities: Node Search, Filter, Display Customization, Playback Controls, Bar Charts.

## Examples

Load rD3plot library and example data with the dependencies network of CRAN packages It loads 2 data.frames: links and nodes

    library(rD3plot)
    data("crannetworkdata")
    links <- crannetworkdata$links
    nodes <- crannetworkdata$nodes

Simple network creation. Columns with edge color, node size, node color and node information are specified for network customization.

    net <- network_rd3(links=links, nodes=nodes, lcolor="Type", size="downloadsyear",
      info="info", color="downloads", dir="CRANnetwork")
    plot(net)

Evolving CRAN network creation

    # It is necessary the creation of a list of networks
    nets <- list()
    # Each network, delimited by time, will be a frame
    for(t in (min(links$Year):max(links$Year))){
        sublinks <- links[links$Year<=t,]
        nets[[paste0("year_",t)]] <- network_rd3(links=sublinks, nodes=nodes, lcolor="Type",
          size="downloads", info="info")
    }
    # Join this networks in a evolutive network with the `evolNetwork_rd3` function
    net <- evolNetwork_rd3(nets, dir="CRANnetworkEvol")
    plot(net)