Description Usage Arguments Value Author(s) Examples

Computes the average shortest path length (ASPL), clustering coefficient(CC), modularity (Q), small-worldness (S; defaults to "rand"), and mean network strength (MNS)

1 | ```
semnetmeas(A, iter, weighted = FALSE, swm = "rand")
``` |

`A` |
An adjacency matrix of network A |

`iter` |
Number of iterations for the small-worldness measure |

`weighted` |
Should weighted measures be computed? Defaults to FALSE. Set to TRUE for weighted measures |

`swm` |
Method for computing small-worldness. Defaults to "rand". See smallworldness for other options |

Returns a values for ASPL, CC, Q, and S

Alexander Christensen <[email protected]>

1 2 3 4 5 6 7 | ```
fin <- finalize(convmat)
cosL <- cosine(fin)
A <- NetworkToolbox::TMFG(cosL)$A
globmeas <- semnetmeas(A)
``` |

AlexChristensen/SemNetToolbox documentation built on Aug. 7, 2018, 6:02 p.m.

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