plot.spiral.graph {netbiov} | R Documentation

## Exploratory visualization of information spread of biological networks

### Description

Plots a graph in a spirical fashion, highly connected nodes are placed at center.

### Usage

    ## S3 method for class 'spiral.graph'
    plot(x, tp=61, vertex.color=NULL,
    color.random=FALSE, rank.function=NULL,tkplot=FALSE,
    v.size=2, e.size=.5,e.curve=.5, v.lab=FALSE, bg="black",
    e.col="grey", skip=0, ...)

### Arguments

`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`
`tp` | is a numeric value, a tuning parameter to get different spirical shapes.
`color.random` | is alogical value, if TRUE, picks colors randomly and assign to nodes depending on their degree
`rank.function` | is a 'function' class returns a two column matrix with number of rows equal to the total nodes in the graph.
`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.size` | is a numeric value or a numeric vector which contains numeric values to assign the size of nodes.
`e.size` | is a numeric value to assign the width to edges.
`e.curve` | is a positive numeric value that adjusts the curvature of the edges.
`v.lab` | is a logical value to show vertex label.
`bg` | name of a color or a hexadecimal code of a color. This option is used to color the background of the plot. The default option is "black".
`e.col` | is a character or a hexadecimal color value to set the color of edges.
`vertex.color` | is a vector of colors assign colors to nodes depending on their degree, from high to low.
`skip` | is an integer value to plot nodes away from the center.
`...` | `...` parameter for other inputs.

### Details

This layout function plots network in a spiral fashion.

### Value

returns a list object of 'netbiov' class

### Author(s)

Shailesh Tripathi, Frank Emmert-Streib

### References

http://bio-complexity.com/

### Examples

      g <- barabasi.game(500)
      x <- plot.spiral.graph(g, 121 )
      x <- plot.spiral.graph(g, 120,rank.function=layout.reingold.tilford,
    vertex.color="red", e.col="green")

[Package netbiov version 1.16.0 Index]