community_allegiance {CommKern} | R Documentation |

## Community Allegiance

### Description

Description of the community allegiance function.

### Usage

```
community_allegiance(comm_matrix)
```

### Arguments

`comm_matrix` |
a matrix whose first column is the node label/id and all subsequent columns are different partitions |

### Details

This function calculates the community allegiance of each node in a network. For node i, the stability of its allegiance to community A is calculated as the number of times where node i belongs to community A, divided by the total number of runs. This measure is bounded in [0,1], where higher values of stability indicate that a node belong to a single community across a greater number of runs.

The function returns a square matrix whose values are bounded in [0,1], where higher values in the off diagonal indicate that the two nodes belong to the same community over a higher proportion of partitions.

### Value

a matrix whose values are bounded in [0,1], where higher values in the off diagonal indicate that the two nodes belong to the same community over a higher proportion of runs.

### Examples

```
set.seed(7)
x <- sample(x = rep(1:3, 4), 12)
set.seed(18)
y <- sample(x = rep(1:3, 4), 12)
set.seed(3)
z <- sample(x = rep(1:3, 4), 12)
xyz_comms <- data.frame(id=seq(1:length(x)),x_comm=x,y_comm=y,z_comm=z)
xyz_alleg <- community_allegiance(xyz_comms)
xyz_melt <- reshape2::melt(xyz_alleg)
ggplot2::ggplot(data = xyz_melt) +
ggplot2::theme_minimal() +
ggplot2::aes(x = as.factor(Var1), y = as.factor(Var2), fill = value) +
ggplot2::geom_tile() +
ggplot2::xlab('Node') + ggplot2::ylab('Node') +
ggplot2::ggtitle('Community Allegiance Example') +
ggplot2::scale_fill_gradient2(
low = 'navy',
high = 'goldenrod1',
mid = 'darkturquoise',
midpoint = 0.5,
limit = c(0, 1),
space = 'Lab',
name='')
```

*CommKern*version 1.0.1 Index]