Workshop: Social Network Analysis (half-day)
Leaders: Jeffrey Nickerson and Kalle J. Lyytinen

Social network analysis has been an important part of sociology and anthropology for decades. Recently, physicists and computer scientists have begun developing new 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 will be devoted to cross-disciplinary research on social network analysis. This year we will lead two panels on the following topics:
* As a community, how can we share data? Can we create databases that can be used to compare different techniques? Can we find datasets with a known ground truth? What techniques might we use to archive web-based data that is constantly changing? Which datasets do we have now, and which ones should we build?
* Which new analysis techniques are yielding interesting results? Which old ones are enjoying revival? What statistical and computational prerequisites are there to current social network analysis? Panelists will discuss micro-behavior simulations and multi-dimensional scaling, among other topics.

Interested participants may submit one of the following:
* A position paper related to one of the panel topics - from these, several will be chosen for presentation, or
* A description of current research - these documents will be posted as a way of introducing the participants work to each other prior to the meeting.

Preliminary Agenda:
* Introductions
* Panel on social network data sets
* Panel on alternative analysis techniques
* Discussion of next steps for the community

This workshop is a continuation of the workshop run in 2008. Persons may also be interested in the Persistent Conversation workshop.

Jeffrey V. Nickerson (jnickerson@stevens.edu)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, sensor network design, and data visualization.

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, CSCW, risk management, and diffusion theory. He is an AIS Fellow, and is the editor of the Journal of AIS.