TERGM: Exponential Random Graph Models for Dynamic Network Data

Instruction by Bruce Desmarais

(duration: 3h)

Exponential random graph models (ERGMs) are flexible statistical models for relational data that are capable of representing and identifying an extensive range of interdependencies common in political networks. Conventional ERGMs are limited to the analysis of cross-sectional network data. The temporal ERGM (TERGM) is a recently developed extension of ERGMs that is designed for longitudinal network data.

How long does it take for a tie to be reciprocated? Will a friend of a friend become a friend? Do new actors in a network prefer to form ties with actors who already have many ties? Fundamental questions of network dynamics such as these can be directly addressed with the TERGM.

This workshop will introduce the TERGM and demonstrate its application in the free and open source R statistical software. You will be provided with real-world longitudinal network data as well as R code to apply TERGMs to that data.

What you will need

  • A laptop with Internet access
  • An existing installation of R
  • A recent version of the ERGM package installed

Background Materials

  1. ERGM and Application in R
  2. TERGM Method Derivation and Description
  3. TERGM Applications

About the instructor

Bruce Desmarais received his PhD from UNC Chapel Hill in 2010 and joined UMass Amherst that year as an assistant professor in the Department of Political Science and a core faculty member in the Computational Social Science Initiative. Bruce's research focuses on the development and application of methods for the analysis of social, organizational and political networks. Applications in his work include international security, collaboration among legislators, organizational communication networks, and the intersection of scientific and policymaking expertise networks. Bruce regularly teaches interdisciplinary courses in network analysis at UMass Amherst, in research training institutes and at professional conferences

Dates and Deadlines
April 1, 2014:
Workshop and presentation acceptance deadline
May 2, 2014:
Last day for early registration
May 28-30, 2014:
Workshops to be held
May 29-31, 2014:
Conference talks and panels