Analyzing Social Networks and Behavior

The goal of this grant is to develop statistical methods and software for the joint analysis of networks and nodal attribute data. The methods will be based on extensions of well-studied and familiar data analysis methods such as factor analysis, linear regression and probit models. The project will provide: statistical tests and descriptions of the relationship between a network and nodal attributes. prediction and imputation of network information based on nodal attribute data. prediction and imputation of nodal attributes based on network data. estimation and inference in the presence of missing network and nodal data. a class of dynamic network models that can be extended into the time domain. open source statistical software that will be accessible to researchers.