2013-14: CMSS: Social Network Data: Collection and Analysis: Oct. 21-23, 2013

Workshop Information

Program: 2013-14 Program on Computational Methods in Social Sciences (CMSS)

When: October 21, 2013 - 9:00am - October 23, 2013 - 1:30pm

Workshop Organizers:

Registration for this workshop is currently closed.

A two-and-a-half day workshop, held at SAMSI, that involved roughly 12-15 invited talks along with formal panel discussions, a poster session, and time available for informal collaboration-building discussions.

This workshop directly interfaced with the Computational Methods in Social Science program year by focusing on pressing issues in the systematic collection, statistical analysis, and mathematical modeling of social science network data. The social world is inherently one of interacting entities. While qualitative and theoretical social science has long had free reign to study complex structures arising from the relations among multiple entities, recent advances in network statistics have begun to allow for the quantitative exploration of these more complex network structures that are central to the structure of the social world. Fundamentally, all networks consist of nodes and edges, or relations between those nodes. Perspectives on networks and the possibilities for statistical research based on such structures are myriad and varied. Additional dimensions of data may be available, including: flows over edges, dynamics over time, and static or fixed covariates on any of the above. Inferential perspectives can then aim to characterize any sub-set of these variables either jointly or conditioning on any others. Data collection, sampling, experimentation, and missing data add further levels of complexity. While the methodological questions associated with networks are broad and disparate, so are the substantive problems they are able to address. Indeed, it is these substantive problems that determine which statistical problems are addressed first. By focusing on data collection efforts (e.g. Add Health, micro-financing in Indian villages) and the relevant methodologies for their analysis, we aimed to further engage mathematical, statistical and computational approaches with social science questions.

Richard L. Smith is the Directorate Liaison

Schedule
Participant List
Speakers, Titles and Abstracts
Poster Titles

Schedule

Monday, October 21, 2013
at SAMSI

9:00-9:30 a.m.	Registration
9:30-9:40	Welcome Remarks (Peter Mucha, University of North Carolina)
9:40-10:15	Eric Kolaczyk, Boston University Estimating Network Degree Distributions from Sampled Networks: An Inverse Problem
10:15-10:50	Krista Gile, University of Massachusetts Inference from Link-Tracing Network Samples
10:50-11:20	Break
11:20-11:55	Brendan Murphy, University College Dublin Mixed Membership of Experts Stochastic Blockmodel
11:55-1:55	Lunch (at SAMSI)
1:55-2:30	Jacob Foster, UCLA Cultural Enrichment: Linking Structure to Culture in Network Analysis
2:30-3:05	Tyler McCormick, University of Washington Latent Space Models for Multiview Network Data
3:05-3:35	Break
3:35-4:10	Elena Erosheva, University of Washington Asking Questions about Numbers: Practical Considerations in RDS Degree Measurement
4:10-5:00	Student Poster Fast Forward
5:00-7:00	Poster Session and Reception SAMSI will provide poster presentation boards and tape. The board dimensions are 4 ft. wide by 3 ft. high. They are tri-fold with each side being 1 ft. wide and the center 2 ft. wide. Please make sure your poster fits the board. The boards can accommodate up to 16 pages of paper measuring 8.5 inches by 11 inches.

Tuesday, October 22, 2013
at SAMSI

9:00-9:30 a.m.	Registration
9:30-10:05	Rebecca Willett, University of Wisconsin Tracking Influence in Dynamic Social Networks
10:05-10:40	Karl Rohe, University of Wisconsin Local Clustering and the Blessing of Transitivity
10:40-11:10	Break
11:10-11:45	Aleksandra Slavkovic, Pennsylvania State University Differentially Private Graphical Degree Sequences and Synthetic Graphs
11:45-1:45	Lunch (at SAMSI)
1:45-2:20	A.C. Thomas, Carnegie Mellon University Protocols for Randomized Experiments to Identify Network Contagion
2:20-2:55	Johan Ugander, Cornell University Graph Cluster Randomization: Design and Analysis for Experiments in Networks
2:55-3:25	Break
3:25-4:25	Panel Discussion: Tom Carsey, UNC; Steve Fienberg, CMU; Mark Handcock, UCLA
6:00	Dinner on your own in small groups at the Streets at Southpoint mall

Wednesday, October 23, 2013
at SAMSI

9:00-9:30 a.m.	Registration
9:30-10:05	Bruce Desmarais, University of Massachusetts Topic-Partitioned Multinetwork Embeddings
10:05-10:40	Blair Sullivan, N.C. State/ORNL Is Intermediate-Scale Structure Tree-like in Social Networks?
10:40-11:10	Break
11:10-11:45	Cosma Shalizi, Carnegie Mellon University When Can We Learn Network Models from Samples?
11:45-11:55	Concluding Remarks
11:55-1:55	Box Lunch (at SAMSI)