EmailNet
EmailNet is a software package being developed by "Information Productivity" research group at School of Information, University of Michigan.

EmailNet is a system that automatically mines the organizational email traffic and generates information on social networks for further analysis. EmailNet flexibly handles different issues that researchers usually encounter in accessing and processing email data. It can also analyze email usage patterns at the individual level as well as interaction details at the working group level. Furthermore, it provides a unique email-oriented network visualization interface that helps researchers explore the social network patterns intuitively. EmailNet is targeted to help social scholars and policy and organizational archivists gather, process, and analyze email more easily and accurately to facilitate the study of organizational electronic communications.

More information about EmailNet can be found from these two papers: NAACSOS2003 short paper;
ICIS2003 submitted paper

A screen snap of EmailNet
About EmailNet
Download/Demo
Contact Info:
All: Marshall Van Alystyne
Tech: Jun Zhang