  This article provides a brief overview of statistical network analysis, a
rapidly evolving field of statistics, which encompasses statistical models,
algorithms, and inferential methods for analyzing data in the form of networks.
Particular emphasis is given to connecting the historical developments in
network science to today's statistical network analysis, and outlining
important new areas for future research.
  This invited article is intended as a book chapter for the volume "Frontiers
of Statistics and Data Science" edited by Subhashis Ghoshal and Anindya Roy for
the International Indian Statistical Association Series on Statistics and Data
Science, published by Springer. This review article covers the material from
the short course titled "Statistical Network Analysis: Past, Present, and
Future" taught by the author at the Annual Conference of the International
Indian Statistical Association, June 6-10, 2023, at Golden, Colorado.
