Stats 101 for Network Analysis

This is a 1-day workshop to prepare participants for the Siena and Exponential Random Graph Models (ERGM, P*) workshops. It is a basic refresher in key concepts and terms such as parameter, statistic, standard error, maximum likelihood, and so on. The workshop will end with simple triadic censuses and P1 models.

The session will also introduce participants to the R environment for statistical analysis.

1. Basic Statistical Concepts

2. The R environment

I. Installing R and packages
II. Help Files
III. Basic operations
IV. Vectors and Matrices
V: Data frames and Lists
VI: Some Helpful Statistical Commands in R (i.e.mean, sd, taking samples)
VII: Basic Regression commands in R (linear and logistic)
VIII: Network Data in R
VIII: Plotting Networks in R
IX: Some Basic network statistics
X: Network inference using simulation (conditional uniform graphs)
XI: Network inference using regression (Dyadic Independent
Regression and Permutation Tests)

Contact

• For more information on the content of this course, contact Jeff Smith or Christian Steglich.