Legend: CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
Statistical Analysis of Network Data (ADDED FEE) — Professional Development Continuing Education Course
ASA
Networks have permeated most aspects of our life through everyday realities like the Internet, social networks, and viral marketing. Their use has become especially prevalent in the biological and life sciences, particularly in computational biology and neuroscience. Accordingly, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research, and statistical methods therefore play a critical role in network analysis. This course will provide a brief overview of foundational topics relevant to statistical analysis of network data across the disciplines. Material will be organized according to a statistical taxonomy, with presentation entailing a conscious balance of conceptual and technical aspects. The course will be organized into roughly two halves of equal length. Topics for the first half will include manipulation, visualization, and descriptive analysis of network data. In the second half, the focus will shift to topics pertaining to statistical modeling and inference in network analysis. Specific examples of network analysis will be drawn from a variety of domain areas, with emphasis on computational biology and neuroscience and on social networks.
Instructor(s): Eric D. Kolaczyk, Boston University
