Sciweavers

Share
KDD
2006
ACM

A framework for analysis of dynamic social networks

9 years 11 months ago
A framework for analysis of dynamic social networks
Finding patterns of social interaction within a population has wide-ranging applications including: disease modeling, cultural and information transmission, and behavioral ecology. Social interactions are often modeled with networks. A key characteristic of social interactions is their continual change. However, most past analyses of social networks are essentially static in that all information about the time that social interactions take place is discarded. In this paper, we propose a new mathematical and computational framework that enables analysis of dynamic social networks and that explicitly makes use of information about when social interactions occur. Categories and Subject Descriptors: I.6.5 Simulation and Modeling: Model Development
Tanya Y. Berger-Wolf, Jared Saia
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2006
Where KDD
Authors Tanya Y. Berger-Wolf, Jared Saia
Comments (0)
books