Introduction to Social Network Analysis
A 2-Day Seminar Taught by Stephen Borgatti, Ph.D.
Interest in social networks has been climbing exponentially since the 1970s. For social scientists, networks can be seen as a fundamental adaptation that facilitates both the coordination and distribution of resources, while simultaneously maintaining the flexibility of independent agents. For physical scientists, networks can be seen as universal structures underlying everything from molecules to galaxies. And for mathematicians and computer scientists, networks provide an abstract and propitious way of representing problems.
The field of social network analysis consists of a vocabulary of theoretical and mathematical concepts for investigating network phenomena, along with a distinctive data model and set of methodologies for collecting and analyzing network data. This course provides an introduction to doing research on social networks. The course is very hands-on, emphasizing mastering the software and using the concepts and methods to answer research questions. It also covers use of network analysis in applied settings such as management consulting and criminology.
The course is heavily hands-on, so you must bring a laptop with UCINET installed. Power outlets will be provided at each seat.
WHO SHOULD ATTEND
This course assumes no prior knowledge of network analysis, but does assume some background in social science research methods, including survey design and simple regression analysis. It is also helpful but not necessary to be familiar with the basics of matrix algebra, particularly matrix multiplication.
We will use the UCINET software package, which can be downloaded from http://tinyurl.com/ucinet. The software is not free, but can be used on a trial basis for 60 days. The course is heavily hands-on, so you must bring a laptop with UCINET installed. Note that UCINET is a Windows program and will not run on a Mac except through Boot Camp or a Windows emulator like Parallels. Knowledgeable Mac and Linux users have also been known to successfully run UCINET on WINE, but the instructor is a Windows user and will not be able to help you with this.
To prepare for the seminar, the instructor recommends reading his book on network analysis, which is available on Amazon. Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2013). Analyzing social networks. SAGE Publications Limited.
LOCATIONS, FORMAT, AND MATERIALS
The seminar meets Friday, April 29 and Saturday, April 30 at Temple University Center City, 1515 Market Street, Philadelphia, PA 19103.
The class will meet from 9 to 5 each day with a 1-hour lunch break.
Participants receive a bound manual containing detailed lecture notes (with equations and graphics), examples of computer printout, and many other useful features. This book frees participants from the distracting task of note taking.
Registration and Lodging
The fee of $995.00 includes all seminar materials.
Lodging Reservation Instructions
A block of guest rooms has been reserved at the Club Quarters Hotel, 1628 Chestnut Street, Philadelphia, PA at a special rate of $152 per night. This location is about a 5 minute walk to the seminar location. In order to make reservations, call 203-905-2100 during business hours and use code STA428. For guaranteed rate and availability, you must reserve your room no later than March 29, 2016.
- The network perspective
- History of the field
- Key tenets
- Canonical research designs
- Network data
- Importing survey data into UCINET
- Common data manipulations
- Visualizing networks
- Node-level analysis
- Ego-network composition
- Structural holes and brokerage
- Network-level analysis
- Network cohesion
- Network shape
- Detecting subgroups
- Testing network hypotheses
- Introduction to permutation tests
- QAP correlation and regression
“Steve’s passion, knowledge and experience with social network analysis provided an informative workshop to learn SNA and use UCINET. His witty demeanor and clear explanations made for a tremendous experience for a person learning the concepts and programs. I highly recommend the workshop to colleagues.”
Mark Bruner, Nipissing University
“This course is a great introduction to the concepts of social network analysis and to UCINET. Very hands-on and practical.”
Dipali Rinker, University of Houston
“Numerous examples were provided among a variety of disciplines to contextualize the concepts of SNA and the UCINET software.”
Cynthia Mejia, University of Central Florida, Rosen College of Hospitality
“Dr. Borgatti is a very clear and helpful instructor. This is a course that beginner/intermediate level SN analysts can benefit from. There is no need to be familiar with the software but having a working knowledge of certain concepts of SNA and the theory behind it might be helpful. I am a social scientist and I believe the course might be beneficial to scientists from various backgrounds including social sciences and hard sciences.”