Description Usage Arguments Value Author(s) References Examples

Get the modularity values based on DCBM and SBM assumptions for a single community detection estimator.

1 | ```
single.mod(A, clusters, K = 2)
``` |

`A` |
input matrix – adjacency matrix of an observed graph based on the non-isolated nodes, of dimension |

`clusters` |
input vector – the estimator of the community labels of the non-isolated nodes in the network, of dimension |

`K` |
the number of the communities, with 2 as the default value. |

`mod.dcbm` |
the modularity value based on the DCBM assumption. |

`mod.sbm` |
the modularity value based on the SBM assumption. |

Yang Feng, Richard J. Samworth and Yi Yu

Yang Feng, Richard J. Samworth and Yi Yu, Community Detection via Fused Principal Component Analysis, manuscript.

1 2 3 4 5 6 7 8 9 |

```
Loading required package: genlasso
Loading required package: MASS
Loading required package: Matrix
Loading required package: igraph
Attaching package: 'igraph'
The following objects are masked from 'package:stats':
decompose, spectrum
The following object is masked from 'package:base':
union
[,1] [,2] [,3]
[1,] 0 1 1
[2,] 1 0 0
[3,] 1 0 0
$mod.dcbm
[1] -5.205542
$mod.sbm
[1] -2.772745
```

FusedPCA documentation built on May 29, 2017, 9:19 p.m.

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