1D Introduction to Social Network Analysis
Rich DeJordy, Northeastern University
9 - 20 July (two week course / 35 hrs)
Detailed Course Outline [PDF]
Course Content
This module is an introduction to the basic concepts, theory, and methods of social network analysis. Social network analysis is a fairly new discipline, which seeks to understand how patterns of connections among members of a system affect the opportunities and constraints that the individual (and the system) encounters.
Course Objectives
Participants will obtain a grounding in the theory and methods of network analysis. Having taken this module, students should be able to design and carry out competent network research studies as well as to be able to interpret network analyses in a consultancy setting.
Course Prerequisites
Participants need to be familiar with basic mathematical notation such as provided in an elementary introductory statistics module. Emphasis is on understanding and interpretative methods, not on the underlying mathematics. Participants should also be comfortable learning new menu-driven software of complexity, such as Microsoft Excel.
Representative Background Reading
Scott, J. 1992. Social Network Analysis. Sage.
Required Reading
Hanneman, R.A., and Riddle, M. Introduction to Social Network Methods. Online book.