Description Usage Arguments Details Value Examples

Computes the uncorrected or corrected average local clustering coffiecient.

1 |

`adj` |
numeric matrix representing the adjacency matrix. |

`types` |
character. Either |

`weights` |
numeric vector of edge weights. Optional. |

`mode` |
character, either |

The uncorrected clustering coefficent is computed according to Watts &
Strogatz (1998). The corrected clustering coefficient normalizes the
uncorrected one by the `average degree / n nodes`

, i.e., the expected
average local clustering for an Erdös-Renyi random graph.

the corrected local clustering coefficient and/or the uncorrected clustering coefficient.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
# get fluency data
data(animal_fluency)
# edge lists of fluency graphs
edge_list = threshold_graph(animal_fluency)
# get adjacency matrices
adj = edg_to_adj(edge_list)
# get local average clustering coefficient
alc(adj)
# get corrected local average clustering coefficient
alc(adj, types = 'corrected')
``` |

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