Description Usage Arguments Details Value Author(s) Examples

This generic function takes an object that inherits from the `graph`

class. The graph needs to have `edgemode=="undirected"`

. If it has
`edgemode=="directed"`

, the function will return NULL.

1 2 | ```
## S4 method for signature 'graph'
clusteringCoefficient(object, selfLoops=FALSE)
``` |

`object` |
An instance of the appropriate graph class. |

`selfLoops` |
Logical. If true, the calculation takes self loops into account. |

For a node with n adjacent nodes, if `selfLoops`

is
`FALSE`

, the clustering coefficent is
N/(n*(n-1)), where N is the number of edges between these nodes.
The graph may not have self loops.
If `selfLoops`

is `TRUE`

, the clustering coefficent is
N/(n*n), where N is the number of edges between these nodes,
including self loops.

A named numeric vector with the clustering coefficients for each node. For nodes with 2 or more edges, the values are between 0 and 1. For nodes that have no edges, the function returns the value NA. For nodes that have exactly one edge, the function returns NaN.

Wolfgang Huber http://www.dkfz.de/mga/whuber

1 2 3 4 | ```
set.seed(123)
g1 <- randomGraph(letters[1:10], 1:4, p=.3)
clusteringCoefficient(g1)
clusteringCoefficient(g1, selfLoops=TRUE)
``` |

```
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colMeans, colSums, colnames, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, lengths, mapply, match, mget, order, paste, pmax, pmax.int,
pmin, pmin.int, rank, rbind, rowMeans, rowSums, rownames, sapply,
setdiff, sort, table, tapply, union, unique, unsplit, which,
which.max, which.min
a b c d e f g h
0.5238095 0.7333333 NaN 1.0000000 1.0000000 0.7333333 1.0000000 0.6666667
i j
1.0000000 1.0000000
a b c d e f g h
0.4489796 0.6111111 0.0000000 0.8000000 0.8000000 0.6111111 0.5000000 0.5555556
i j
0.5000000 0.5000000
```

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