Social Network Analysis (Half-day Workshop)
Kalle Lyytinen and
Jeffrey V. Nickerson
Social network analysis has been an important part of sociology and
anthropology research approaches for decades. Recently, physicists and
computer scientists have begun developing new computational approaches to
analyzing such networks. Information systems researchers have become
interested also, with an increasing number of papers appearing in IS
journals and conferences. This workshop is devoted to cross-disciplinary
research on (social) network analysis and aims to find common themes
across disciplines, push the frontiers in methods and data collection, and
discuss linkages between theory and analysis techniques. In the next
workshop in January 2010, the third in our series, we will lead a panel on
socio-technical networks, asking the questions:
Are machines to be nodes in
the network, or are they just the conduits through which people
communicate? That is, are computers just for communication, or should they
be modeled as if they perform or mediate cognition?
If machines are nodes, are
they to be modeled in the same way as humans? That is, do we need models
of networks in which different forms of cognition are modeled differently?
If so, what complexities does that create in using standard ways of
evaluating and analyzing networks?
If machines are conduits,
how do they change the networks in terms of structures and behaviors they
are conduits for?
What analysis tools do we
have, or need to build, to model cognition distributed across humans,
machines, and other representational media?
Interested participants can
submit a position statement in response to one or more of the above
questions – these documents will be posted on a website as a way of
introducing the participants’ work to each other prior to the meeting.
Kalle Lyytinen (Kalle.Lyytinen@case.edu)
is the Iris S. Wolstein Professor in Management Design at
Case Western Reserve. His research interests include systems design
methods, IS research strategy, computer-aided systems engineering
environments, innovation theory and especially distributed innovation
involving complex socio-technical networks. He is an AIS Fellow, and is
the editor of the Journal of AIS.
Jeffrey V. Nickerson
is an Associate Professor and Director of the Center for Decision
Technologies in the Wesley J. Howe School of Technology Management at
Stevens Institute of Technology. His research interests include social
network analysis, diagram understanding, and distributed cognition.