My research focuses on developing theoretical and methodological advancements
to the study of communication, studying the self-organization of communication
networks in small groups and larger organizations. I study communication
from a dynamic perspective, developing theories and methods that foster
the longitudinal analysis of communicative interaction.
Theoretically, have been developing a model of cooperative evolution
in relational human interaction, flock theory. Flock theory models
situations, specifically on organizational settings, where groups of
people can develop and maintain a manner of interaction that catalyzes
egalitarian, dissipated leadership and the emergence of creativity.
I have extended this theoretical work to include the small world phenomena
(i.e., 6-degrees of separation), extrapolating flock theory to model
larger, bipartite networks. This was done in an effort to stress the
importance of knowledge sharing and knowledge network navigation.
Methodologically, my research has produced three main areas of advancement.
I have developed new methods for the study of organizational networks
on the task group and organization level. I am developing network analytic
methods for the structural and content analyses of chat-based communicative
interaction, commonly used in online communities and distributed work
groups, and have used these methods to research and support an online
educational science community in several high schools across the United
States (www.scicentr.org). Finally, I am cooperating in research developing
neural networks for multi-lingual text analysis.
I teach classes on communication theory, small-group communication,
computer-mediated communication, organizational communication, research
methods, and intercultural communication.