ison_monastery {manynet}R Documentation

Three one-mode signed, weighted networks and a three-wave longitudinal network of monks (Sampson 1969)

Description

The data were collected for an ethnographic study of community structure in a New England monastery. Various sociometric data was collected of the novices attending the minor seminary of 'Cloisterville' preparing to join the monastic order:

All networks are weighted. Novices' first choices are weighted 3, the second 2, and third choices 1. Some subjects offered tied ranks for their top four choices.

In addition to node names, a 'groups' variable records the four groups that Sampson observed during his time there:

Information about senior monks was not included. While ison_monastery_like is observed over three waves, the rest of the data was recorded retrospectively from the end of the study, after the network fragmented. The waves in which the novitiates were expelled (1), voluntarily departed (2 and 3), or remained (4) are given in the nodal attribute "left".

Usage

data(ison_monastery_like)

data(ison_monastery_esteem)

data(ison_monastery_influence)

data(ison_monastery_praise)

Format

#> # A longitudinal, labelled, weighted, directed network with 18 nodes and 168 arcs
#> # A tibble: 18 x 3
#>   name        groups        left
#>   <chr>       <chr>        <dbl>
#> 1 Romuald     Interstitial     3
#> 2 Bonaventure Loyal            4
#> 3 Ambrose     Loyal            4
#> 4 Berthold    Loyal            4
#> 5 Peter       Loyal            3
#> 6 Louis       Loyal            4
#> # i 12 more rows
#> # A tibble: 168 x 4
#>    from    to weight  wave
#>   <int> <int>  <dbl> <dbl>
#> 1     1     5      3     1
#> 2     1     7      1     1
#> 3     1    11      2     1
#> 4     2     5      3     1
#> 5     2     6      2     1
#> 6     2    15      1     1
#> # i 162 more rows
#> # A labelled, signed, directed network with 18 nodes and 112 arcs
#> # A tibble: 18 x 3
#>   name        groups        left
#>   <chr>       <chr>        <dbl>
#> 1 Romuald     Interstitial     3
#> 2 Bonaventure Loyal            4
#> 3 Ambrose     Loyal            4
#> 4 Berthold    Loyal            4
#> 5 Peter       Loyal            3
#> 6 Louis       Loyal            4
#> # i 12 more rows
#> # A tibble: 112 x 3
#>    from    to  sign
#>   <int> <int> <dbl>
#> 1     2     3     1
#> 2     2     5     3
#> 3     2     6     2
#> 4     2    16    -1
#> 5     2    17    -3
#> 6     2    18    -2
#> # i 106 more rows
#> # A labelled, signed, directed network with 18 nodes and 103 arcs
#> # A tibble: 18 x 3
#>   name        groups        left
#>   <chr>       <chr>        <dbl>
#> 1 Romuald     Interstitial     3
#> 2 Bonaventure Loyal            4
#> 3 Ambrose     Loyal            4
#> 4 Berthold    Loyal            4
#> 5 Peter       Loyal            3
#> 6 Louis       Loyal            4
#> # i 12 more rows
#> # A tibble: 103 x 3
#>    from    to  sign
#>   <int> <int> <dbl>
#> 1     2     5     3
#> 2     2     6     2
#> 3     2    10     1
#> 4     2    16    -1
#> 5     2    17    -3
#> 6     2    18    -2
#> # i 97 more rows
#> # A labelled, signed, directed network with 18 nodes and 80 arcs
#> # A tibble: 18 x 3
#>   name        groups        left
#>   <chr>       <chr>        <dbl>
#> 1 Romuald     Interstitial     3
#> 2 Bonaventure Loyal            4
#> 3 Ambrose     Loyal            4
#> 4 Berthold    Loyal            4
#> 5 Peter       Loyal            3
#> 6 Louis       Loyal            4
#> # i 12 more rows
#> # A tibble: 80 x 3
#>    from    to  sign
#>   <int> <int> <dbl>
#> 1     4     3     1
#> 2     4     5     3
#> 3     4     6     2
#> 4     4    13    -3
#> 5     4    15    -1
#> 6     4    17    -2
#> # i 74 more rows

References

Sampson, Samuel F. 1969. Crisis in a cloister. Unpublished doctoral dissertation, Cornell University.

Breiger R., Boorman S. and Arabie P. 1975. "An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling". Journal of Mathematical Psychology, 12: 328-383.


[Package manynet version 1.0.2 Index]