The field of social network analysis is one of the most rapidly growing fields in the social sciences. Social network analysis focuses on the relationships between individuals (or other units of analysis) such as friendship, advice, trust, or trade relationships. As such, network analysis is concerned with the visualization and analysis of network structures as well as with the importance of networks for individuals’ propensities to adopt different kinds of behaviors.
Until now, researchers wishing to implement this type of analysis have been forced to use other software for network analysis. However, a new set of community-contributed commands (developed by Thomas Grund, coauthor of the forthcoming Stata Press title An Introduction to Social Network Analysis and Agent-Based Modeling Using Stata) is now available for Stata. This course introduces the nwcommands suite of over 90 Stata commands for social network analysis. The suite includes commands for importing, exporting, loading, saving, handling, manipulating, replacing, generating, visualizing, and animating networks. It also includes commands for measuring various properties of the networks and the individual nodes, for detecting network patterns and measuring the similarity of different networks, and for implementing advanced statistical techniques for network analysis, including MR-QAP and ERGM.
The workshop provides an interdisciplinary venue for social scientists, mathematicians, computer scientists, ethnologists, epidemiologists, organizational theorists, and others to present current work in the area of social networks.
|Day 1—Tuesday (optional)||An Introduction to Stata|
|Day 2—Wednesday||Introduction, Network Data, Dyads, Distance, Triads|
|Day 3—Thursday||Centrality, Centralization, Simulation, Visualization, Animation|
|Day 4—Friday||Hypothesis Testing, Condiutional Uniform Graphs, Quadratic Assignment Procedure, Regression Approach, ERGM|