visNetwork is a R package for network visualization, using vis.js javascript library (http://visjs.org). All the remarks and bugs returns are welcome on github : https://github.com/DataKnowledge/visNetwork.

Minimal example

visNetwork needs at least two informations :

require(visNetwork, quietly = TRUE)
# minimal example
nodes <- data.frame(id = 1:3)
edges <- data.frame(from = c(1,2), to = c(1,3))
visNetwork(nodes, edges, width = "100%")

Simple individual nodes and edges customization

nodes <- data.frame(id = 1:10, 
                    label = paste("Node", 1:10),                                 # add labels on nodes
                    group = c("GrA", "GrB"),                                     # add groups on nodes 
                    value = 1:10,                                                # size adding value
                    shape = c("square", "triangle", "box", "circle", "dot", "star",
                    "ellipse", "database", "text", "diamond"),                   # control shape of nodes
                    title = paste0("<p><b>", 1:10,"</b><br>Node !</p>"),         # tooltip (html or character)
                    color = c("darkred", "grey", "orange", "darkblue", "purple"),# color
                    shadow = c(FALSE, TRUE, FALSE, TRUE, TRUE))                  # shadow

head(nodes)
##   id  label group value    shape                     title    color shadow
## 1  1 Node 1   GrA     1   square <p><b>1</b><br>Node !</p>  darkred  FALSE
## 2  2 Node 2   GrB     2 triangle <p><b>2</b><br>Node !</p>     grey   TRUE
## 3  3 Node 3   GrA     3      box <p><b>3</b><br>Node !</p>   orange  FALSE
## 4  4 Node 4   GrB     4   circle <p><b>4</b><br>Node !</p> darkblue   TRUE
## 5  5 Node 5   GrA     5      dot <p><b>5</b><br>Node !</p>   purple   TRUE
## 6  6 Node 6   GrB     6     star <p><b>6</b><br>Node !</p>  darkred  FALSE
edges <- data.frame(from = sample(1:10,8), to = sample(1:10, 8),
                    label = paste("Edge", 1:8),                                 # add labels on edges
                    length = c(100,500),                                        # length
                    arrows = c("to", "from", "middle", "middle;to"),            # arrows
                    dashes = c(TRUE, FALSE),                                    # dashes
                    title = paste("Edge", 1:8),                                 # tooltip (html or character)
                    smooth = c(FALSE, TRUE),                                    # smooth
                    shadow = c(FALSE, TRUE, FALSE, TRUE))                       # shadow
head(edges)
##   from to  label length    arrows dashes  title smooth shadow
## 1    5  5 Edge 1    100        to   TRUE Edge 1  FALSE  FALSE
## 2    8  8 Edge 2    500      from  FALSE Edge 2   TRUE   TRUE
## 3    7  7 Edge 3    100    middle   TRUE Edge 3  FALSE  FALSE
## 4    2  6 Edge 4    500 middle;to  FALSE Edge 4   TRUE   TRUE
## 5    1  2 Edge 5    100        to   TRUE Edge 5  FALSE  FALSE
## 6   10  4 Edge 6    500      from  FALSE Edge 6   TRUE   TRUE
visNetwork(nodes, edges, width = "100%")

Global nodes/edges configuration

nodes <- data.frame(id = 1:5, group = c(rep("A", 2), rep("B", 3)))
edges <- data.frame(from = c(2,5,3,3), to = c(1,2,4,2))

visNetwork(nodes, edges) %>% 
  visNodes(shape = "square") %>%                        # square for all nodes
  visEdges(arrow ="to") %>%                             # arrow "to" for all edges
  visGroups(groupname = "A", color = "darkblue") %>%    # darkblue for group "A"
  visGroups(groupname = "B", color = "red")             # red for group "B"

Network configuration

Configuration options are available in visOptions, visInteraction, visLayout, visHierarchicalLayout, visPhysics :

Highlight nearest

Highlight nearest nodes and edges clicking on a node :

visNetwork(nodes, edges, width = "100%") %>% visOptions(highlightNearest = TRUE)

Add legend on groups

visNetwork(nodes, edges, width = "100%",  legend = TRUE)

Select by node id

visNetwork(nodes, edges, width = "100%") %>% visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE)

Directed Network

visNetwork(nodes, edges, width = "100%") %>% visEdges(arrow = 'from')

Custom navigation

vis.js propose some navigation tools :

visNetwork(nodes, edges, width = "100%") %>% visInteraction(navigationButtons = TRUE)

Data Manipulation

And some data manipulation tools :

visNetwork(nodes, edges, width = "100%") %>% visOptions(manipulation = TRUE)

Hierarchical Layout

You can use and control hierarchical layout with visHierarchicalLayout and visLayout :

visNetwork(nodes, edges, width = "100%") %>% visEdges(arrow = "from") %>% 
  visHierarchicalLayout() # same as   visLayout(hierarchical = TRUE) 

visNetwork(nodes, edges, width = "100%") %>% visEdges(arrow = "from") %>% 
  visHierarchicalLayout(direction = "LR")

Freeze network

visNetwork(nodes, edges, width = "100%") %>% 
  visInteraction(dragNodes = FALSE, dragView = FALSE, zoomView = FALSE)

Use font awesome icons in your network

You can use Font Awesome icons using groups or nodes options. Font Awesome library (http://fortawesome.github.io/Font-Awesome/) is not part of dependencies. use addFontAwesome() if needed.

nodes <- data.frame(id = 1:3, group = c("B", "A", "B"))
edges <- data.frame(from = c(1,2), to = c(2,3))

visNetwork(nodes, edges, width = "100%", legend = TRUE) %>%
  visGroups(groupname = "A", shape = "icon", icon = list(code = "f0c0", size = 75)) %>%
  visGroups(groupname = "B", shape = "icon", icon = list(code = "f007", color = "red")) %>%
  addFontAwesome()

Additional features

Clustering

Some first (experimental) functions are available :

You can open clusters by double-clicking, and re-cluster with button.

nodes <- data.frame(id = 1:10, label = paste("Label", 1:10), 
   group = sample(c("A", "B"), 10, replace = TRUE))

edges <- data.frame(from = c(2,5,10), to = c(1,2,10))

visNetwork(nodes, edges, legend = TRUE, width = "100%") %>%
   visGroups(groupname = "A", color = "red", shape = "square") %>%
   visGroups(groupname = "B", color = "yellow", shape = "triangle") %>%
   visClusteringByColor(colors = c("red")) %>%
   visClusteringByGroup(groups = c("B"))

Use in Shiny

With visNetworkOutput and renderVisNetwork. Using with shiny, and enabled options nodesIdSelection, you can access to new input with current selection value :

output$mynetwork <- renderVisNetwork({... visOptions(nodesIdSelection = TRUE)}) # created input$mynetwork_selected

Physics, tooltip, events,

You can also control :

Export

network <- visNetwork(nodes, edges, width = "100%")
htmlwidgets::saveWidget(network, "network.html")

Use DOT language data

visNetwork(dot = 'dinetwork {1 -> 1 -> 2; 2 -> 3; 2 -- 4; 2 -> 1 }', width = "100%")

Use gephi json export file

# don't run here
visNetwork(gephi = 'WorldCup2014.json')