Description Usage Arguments Value References See Also Examples

View source: R/sample_about_one_seed.R

This function obtains a labeled snowball with multiple inclusions (LSMI) sample, starting from a single network node called seed. See Figure 1 by \insertCitethompson_etal_2016;textualsnowboot illustrating the algorithm of sampling around one seed.

1 | ```
sample_about_one_seed(net, seed, n.wave = 1)
``` |

`net` |
a network object that is a list containing: `degree` the degree sequence of the network, which is an `integer` vector of length*n*;`edges` the edgelist, which is a two-column matrix, where each row is an edge of the network; `n` the network order (i.e., number of nodes in the network).
The network object can be simulated by |

`seed` |
numeric ID of a seed to start the LSMI. |

`n.wave` |
an integer defining the number of waves (order of the neighborhood)
to be recorded around the seed in the LSMI. For example, |

`sample_about_one_seed`

returns a list of length `n.wave + 1`

containing ID of the seed (1st element of the output list), IDs of nodes in the
1st wave (2nd element of the list), ..., IDs of nodes in the wave `n.wave`

((`n.wave + 1`

)th element of the list). If a wave has no nodes in it, the
corresponding element of the output contains `NA`

.

1 2 | ```
net <- artificial_networks[[1]]
a <- sample_about_one_seed(net, seed = 1, n.wave = 2)
``` |

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