Complex Networks Modeling Workshop - October 20-22, 2010

The analysis of network data has become a major endeavor across the sciences, and network modeling plays a key role. Frequently, there is an inferential component to the process of network modeling i.e., inference of network model parameters, of network summary measures, or of the network topology itself. For most standard types of data (e.g., independent and identically distributed, time series, spatial, etc.), there is a well-developed mathematical infrastructure guiding sampling, modeling and inference in practice. In the context of network data, however, such an infrastructure is only beginning to be developed.

The goal of this workshop is to bring together researchers working on the sampling, modeling, and inference of networks, for the purpose of helping move the current state of knowledge on these inter-related tasks to rest on a more principled and integrated mathematical and statistical foundation. Topics of focus include recent advances in network sampling (e.g., respondant driven sampling), inference from partially sampled (e.g., ego-centric) network data, and the confluence of traditional models (e.g., stochastic block-models, Gaussian graphical models) with modern tools for high-dimensional data analysis (e.g., l1-penalized optimization, spectral partitioning).

Organizers: David Banks (Duke University), and Eric Kolaczyk (Boston University)

Application

REGISTRATION IS CLOSED.

Please make reservations at the Radisson RTP as soon as possible. The SAMSI room block and rate ($109) is effective until October 6, 2010. After this date, there is no guarantee a room will be available.  If you have a change in plans, individual room reservations must be cancelled 72 hours prior to arrival. Check-in is at 3:00 PM; check-outis 12:00 noon.

Please send questions to [email protected]

Schedule

Wednesday, October 20, 2010

at SAMSI

Thursday, October 21, 2010

at SAMSI

Friday, October 22, 2010

at SAMSI