A collection of network objects containing the "liking"
nominations of the monks studied by Sa68n;textualergm over the three time points:
data(samplk) contains the time-sliced networks of liking and
disliking (samplk1, samplk2, samplk3, sampdlk1, sampdlk2,
and sampdlk3) and data(sampson) (samplike) a network cumulative network
of liking nominations.
data(sampson)
data(samplk)group harmonization
ergm 4.11 added dislike networks sampdlk[1-3]; note that
unlike the positive affection networks, it is not clear whether
these were collected contemporaneously or retrospectively.
For all networks in samplk, scores reflecting the position in the
ranking were added.
The group vertex attribute meaning differed between the sampson
(samplike) and the samplk networks and will continue to do so
for reproducibility; for removal of ambiguity, both datasets now
have group3 and group4 vertex attributes, with group3
inherited from sampson and group4 from samplk.
This data set was updated for version 2.5 (March 2012) to add the
cloisterville variable and refine the names. This information is from
DeNo05e;textualergm. The original vertex names were:
Romul_10, Bonaven_5, Ambrose_9, Berth_6, Peter_4, Louis_11, Victor_8,
Winf_12, John_1, Greg_2, Hugh_14, Boni_15, Mark_7, Albert_16, Amand_13,
Basil_3, Elias_17, Simp_18. The numbers indicate the ordering used in the
original dissertation of Sa68n;textualergm.
In ergm version 3.6.0 and earlier, The adjacency matrices of
the samplike, samplk1, samplk2, and samplk3
networks reflected the original Sa68n;textualergm ordering of the
names even though the vertex labels used the name order of DeNo05e;textualergm.
That is, in ergm version 3.6.0
and earlier, the vertices were mislabeled. The correct order is the
same one given in Tables D5, D9, and D13 of Sa68n;textualergm: John
Bosco, Gregory, Basil, Peter, Bonaventure, Berthold, Mark, Victor,
Ambrose, Romauld (Sampson uses both spellings "Romauld" and
"Ramauld" in the dissertation), Louis, Winfrid, Amand, Hugh,
Boniface, Albert, Elias, Simplicius. By contrast, the order given
in ergm version 3.6.0 and earlier is: Ramuald, Bonaventure,
Ambrose, Berthold, Peter, Louis, Victor, Winfrid, John Bosco,
Gregory, Hugh, Boniface, Mark, Albert, Amand, Basil, Elias,
Simplicius.
Sa68n;textualergm recorded the social interactions among a group of monks while he was a resident as an experimenter at the cloister. During his stay, a political "crisis in the cloister" resulted in the expulsion of four monks-- namely, the three "outcasts," Brothers Elias, Simplicius, Basil, and the leader of the "young Turks," Brother Gregory. Not long after Brother Gregory departed, all but one of the "young Turks" left voluntarily: Brothers John Bosco, Albert, Boniface, Hugh, and Mark. Then, all three of the "waverers" also left: First, Brothers Amand and Victor, then later Brother Romuald. Eventually, Brother Peter and Brother Winfrid also left, leaving only four of the original group.
Of particular interest are the data on positive affect relations ("liking," using the terminology later adopted by WhBo76s;textualergm), in which each monk was asked to list three monks with whom he had positive affect ("liked the most", "liked 2nd most", and "liked 3rd most") and three monks with whom he had negative affect ("liked the least", "liked 2nd least", liked 3rd least"). (Some did not comply fully and provided additional names, forcing ties.)
The data were gathered at three times to capture changes in group sentiment over time. They represent three time points in the period during which a new cohort had entered the monastery near the end of the study but before the major conflict began. These three time points are labeled T2, T3, and T4 in Tables D5 through D16 in the appendices of Sampson's 1969 dissertation.
This data set is standard in the social network analysis
literature, having been modeled by HoLe81e;textualergm,
Re82u;textualergm, HoLa83s;textualergm,
FiWa81c;textualergm, HoRa02l;textualergm
(using samplk3), and KrHa09r;textualergm
(samplike). This is only a small piece of the data collected by
Sampson.
All of the networks contain the following identical vertex attributes:
cloistervilleAn indicator of attendance at the minor seminary of "Cloisterville" before coming to the monastery.
vertex.namesThe given names of the novices. NB:
These names have been corrected as of ergm version 3.6.1; see details
below.
group4The original grouping by Sampson ("[Young] Turks", "Loyal [Opposition]", "Outcasts", and "Waverers").
group3As group4, but with "Waverers" merged into their
nearest group; retained for historical reasons.
Note that the group vertex attribute differs between sampson
and samplk for historical reasons.
samplk)
The data from the three time points (T2, T3, T4) are provided as
samplk1, samplk2, and samplk3 for liking most and
sampdlk1, sampdlk2, and sampdlk3 for liking least,
respectively. A directed edge from monk A to monk B exists if A
nominated B among his top three (or four, in case of ties) choices
at that time point. Each network also has an edge attribute
score, indicating the ranking given:
| list | score |
| liked the most | +3 |
| liked 2nd most | +2 |
| liked 3rd most | +1 |
| not nominated | 0 |
| liked 3rd least | -1 |
| liked 2nd least | -2 |
| liked the least | -3 |
Note that the samplk[1-3] networks only contain positive scores
and sampdlk[1-3] only negative.
For historical reasons, their vertex attribute group is the same
as group4 described above.
sampson)
The samplike network is the time-aggregated network. Thus,
a tie from monk A to monk B exists if A nominated B as one of his
three (or four, in case of ties) most liked at any of the three
time points. An edge attribute, nominations, gives the
number of times (out of 3) that monk A nominated monk B.
For historical reasons, its vertex attribute group is the same as
group3 described above.
florentine, network, plot.network, ergm
data(samplk)
# Table D5 in \insertCite{Sa68n;textual}{ergm}
as.matrix(samplk1, attrname = "score") + as.matrix(sampdlk1, attrname = "score")
# Table D9
as.matrix(samplk2, attrname = "score") + as.matrix(sampdlk2, attrname = "score")
# Table D13
as.matrix(samplk3, attrname = "score") + as.matrix(sampdlk3, attrname = "score")
# Cumulative ties in `samplike`
data(sampson)
all(as.matrix(samplike) ==
as.matrix(samplk1) | as.matrix(samplk2) | as.matrix(samplk3))
all(as.matrix(samplike, attrname = "nominations") ==
as.matrix(samplk1) + as.matrix(samplk2) + as.matrix(samplk3))
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