Network Analysis I: Introduction

Instructor(s):

  • Ann McCranie, Indiana University

This workshop will be offered in an online video format.

This course will lay the groundwork for social network analysis (SNA) from conceptual, statistical, empirical, and computational foundations. We will draw on the rich multidisciplinary history that has shaped the field's development - incorporating perspectives from sociology, physics, mathematics, statistics, and public health.

SNA differs from other analytic perspectives in ways that require unique strategies for data collection, storage, descriptive and statistical analyses. The course will address each of these strategies by surveying a range of the most commonly used analytic techniques. We will demonstrate their empirical applications and computation using the R programming language, and several other analysis and visualization packages, including UCINET, Pajek, and visone.

Topics to be discussed include a basic introduction to SNA, graphs and matrices, basic network measures and visualization, reciprocity and transitivity, dyadic and triadic analysis, centrality, egocentric networks, two-mode networks (affiliations, bibliographic/scientometric analysis), cohesive subgroups, equivalences and blockmodeling, hubs & authorities, cores & peripheries, clustering and graph partitioning, large scale structure of networks, statistical modeling in network (ergm/RSiena), and network dynamics and change in networks.

Software: We will use a number of packages: UCINET, Pajek, the statnet and other related packages in R, and visone.

Fee and Registration: This course is part of the first four-week session. Please see our fee chart on our Registration page for the cost of attending one (or both) four-week session(s). Participants who enroll in a four-week session may take as many courses (workshops and lectures) as desired during the session for which they are enrolled. Participants in the four-week sessions are also welcome to attend all of the lectures and discussions offered in the Blalock Lecture Series.

Tags: network analysis, social structures, sociogram, dyadic analysis, graph theory, social network diagram, actor interrelations

Course Sections

Section 1

Location: Online -- Video format,

Date(s): June 22 - July 17

Time: 3:00 PM - 5:00 PM

Instructor(s):

  • Ann McCranie, Indiana University