BAYLOR UNIVERSITY, 1998
SOCIOLOGY, SOCIAL STRUCTURE AND DEVELOPMENT (0700); SOCIOLOGY, DEMOGRAPHY (0938);
LAW (0398)
Network analysis studies interactions between individuals and how these interactions
create a framework
that can be studied, allowing influence in a community to be traced. The research
in this dissertation
demonstrates that network analysis can be used to assess the level of bias within
a community, an
important issue in change of venue cases. Based on previous research, a number
of predictions are
made about typical network size and causes for variation in network size. Once
these parameters are in
place, a mathematical model of potential juror bias is constructed and applied
to an actual case. The goal
of this application is to allow the defendant in a specific legal case to argue
for a change of venue based
on the magnitude of influence of those directly impacted by the events. While
the average network size
for a North American is 20 other adults, only network members who live within
the county are relevant for
this study. Research reveals that up to 30% of network ties are to individuals
outside the metropolitan
area, thus reducing the network size estimate to 14. The model was further refined,
reducing network
size for employees due to the presence of coworkers in the network and adding
to the network due to
individuals who live with directly affected individuals. When the mathematical
model was applied to the
specific case in question, two categories of individuals had to be calculated
in separate ways. Beginning
with 194 shareholders, the network size of shareholders who live alone, those
who live with another
shareholder, and shareholders who live with other adults were calculated. This
resulted in a total network
size of 4,710 for shareholders. The second category consisted of former employees.
The total number
of former employees was 236, and the network size for those who lived alone,
with another employee, or
with other adults were calculated. The total network size for employees was
5,022. When combined with
the network size for shareholders, 9,732 adults within the county may reasonably
be assumed to be
biased through their interaction with former employees and shareholders.
Social
Systems Simulation Group
P.O. Box 6904 San Diego, CA 92166-0904 Roland Werner, Principal Phone/FAX (619) 660-1603 |