plot.NetworkSperical: Exploratory visualization of information spread of biological...
In netbiov: A package for visualizing complex biological network

Description Usage Arguments Value Author(s) References Examples

Global layout style:

A visualization of a network in a spherical form. The node with the highest degree is placed in the center, and its neighbors are plotted around this node in a circular manner. Whenever a node is encountered with multiple neighbors, the neighbors are plotted into the direction of that node. This process continues until all nodes are placed. This gives a compact spherical view of the network.

1
2
3

## S3 method for class 'NetworkSperical'
plot(x, mo="in", tkplot = FALSE, 
v.lab=FALSE, v.size=1, bg="black", ...)

`x`	`x` is a graph object created from an adjacency matrix or from a tabular data of two columns using `graph()` function available in `igraph`.
`mo`	`mo` represents the mode of nodes. Can be either `in` or `out`.
`tkplot`	it is a boolean variable, if it is true, function will use 'tkplot' function to plot a graph, if it is false function will use plot function with the black background.
`v.lab`	`v.lab` is a logical value to show vertex label.
`v.size`	`v.size` is a numeric value to assign the size of nodes.
`bg`	`bg`is a color value to adjust background color of the plot.
`...`	`...` parameter for other inputs.

Plots the input graph object using tkplot function.

Shailesh Tripathi, Frank Emmert-Streib

http://bio-complexity.com/

  #Example 1
   g <- barabasi.game(500, directed = TRUE)
   xx <- plot.NetworkSperical(g,  mo = "in", tkplot=FALSE)

  # Example 2
  g <- erdos.renyi.game(100, p=.1)
  xx <- plot.NetworkSperical(g)