ATTENTION: With the departure of Dr. Raeda Anderson and George Usmanov from the GSU Library in Summer 2020, the workshop materials and information on this guide will no longer be actively supported. These materials will be kept online for the time being. For questions about these materials, or to inquire about currently supported workshops and subject-areas, please visit the Research Data Services homepage: lib.gsu.edu/data
Social Network Analysis (SNA) is a rapidly expanding methodology used in disciplines from sociology, economics, public health, business, biology, and many more. SNA allows researchers to analyze network structures, the spread of disease or information, and the relationships between groups and/or individuals. In this research guide we explore the different types of networks, how to calculate basic network measures, and provide resources for you to go further.
Stata15 is available on all library computers at the Atlanta campus. Conducting network analysis in Stata requires downloading a free networks package in Stata called "nwcommands" (Grund 2015).
Make sure to back up all of your data, code, and output each time you use Stata. All work on GSU's computers will be removed when you log off of the computer.
Other programs for network analysis:
Adamic, L. A., & Glance, N. (2005, August). The political blogosphere and the 2004 US election: divided they blog. In Proceedings of the 3rd international workshop on Link discovery (pp.36-43). ACM
Stata is a statistical software package. Stata is widely used by scientists throughout the social sciences for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.
Stata has multiple options to complete analysis through 'point and click', code, and model building (for specific analysis). Opening and analyzing data is not limited to one of the above mentioned options. This reference page uses code to demonstrate how to a download network analysis package and conduct sociocentric social network analysis.
This guide's content was authored by Dr. Raeda Anderson and George Usmanov, who no longer work in the Research Data Services (RDS) Department. Written permission must be gained from the authors for any reuse, remix, or distribution of the guide content and associated materials.
