Lab 6 – Subgroups
Cohesive Subgroups Lab
1) Games
a) Extract games relation (rdgam) from Wiring dataset. Call the file Games.
b) Run Network|Subgroups|Cliques on Games
c) Run NetDraw and use File|Open|Ucinet|2-mode to draw diagram of the resulting
CliqueSets dataset. Should look like this:
2
13
1
8
4
1
4
11
5
2
6
10
9
3
5
3
12
14
7
d) Repeat steps “b” and “c” for n-cliques (with n=2) and k-plexes (with k=2). Note
that output dataset may have different name in each case.
e) Run networks|subgroups|lambda sets.
2) Camp92/Campnet dataset
a) Run Network|subgroups|factions on campnet dataset
b) Run Tools|Cluster|Optimization on campnet using correlation criterion with data
type set to “proximities”.
c) Symmetrize campnet, calling the result SymCampnet and rerun “a” and “b”
d) Run tools|cluster|hierarchical clustering on symcampnet – results should be rather
unsatisfactory
e) Run geodesic distances on symcampnet
f) Run tools|cluster|optimization on geodesic distances. Make sure to change data
type parameter to “distances”.
g) Run tools|cluster|hierarchical on the geodesic distances.
3) Zackar dataset
a) Run cliques, 2-cliques, 2-plexes, lambda sets and factions on zackar
b) Run geodesic distances on zackar
c) Run hierarchical clustering on the geodesic distances
d) Open zackar dataset in netdraw
e) Open zackattr dataset (may have to download from web and import into ucinet
first)
f) Set shape of nodes according to Club attribute
g) Run analysis|subgroups|hierarchical clustering of distances and compare with “c”
h) Run analysis|subgroups|factions and compare with “a”
i) Run analysis|subgroups|newman-girvan
j) As you know, the Karate club split into to separate clubs. Which subgroup
method best predicts which actor went with which new club?
i) Count number of errors for each.