|Carley, K.M., Frantz, T., Diesner, J., & Davis, G. (2005). Groups:
Surface And Deep Structure. XXV Sunbelt Social Network Conference,
Redondo Beach, CA, February 16-20, 2005.
Once network data on a group is collected, we often ask - what is the
structure? That is, what are the subgroups
and how do they interact? Within SNA we have a number of partitioning
and clustering algorithms
for locating groups. A key limitation of these approaches is that they
partition the group into distinct nonoverlapping
sets. A second limitation is that they do not take non-social network
data into account when
locating the groups. A third limitation is that, they often only pull
out the surface structure of the group -
that which is common to all - and don't provide guidance as to the deep
structure. In this paper, using data
on a large university department, these limitations are illustrated.
Then we demonstrate how these
limitations can be, at least partially overcome, using data on multiple
networks - social and knowledge;
segregating overly shared information, and using fuzzy set partitioning.