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Module SSIM912 for 2020/1
- Overview
- Aims and Learning Outcomes
- Module Content
- Indicative Reading List
- Assessment
Undergraduate Module Descriptor
SSIM912: Introduction to Social Network Analysis
This module descriptor refers to the 2020/1 academic year.
Module Content
Syllabus Plan
Whilst the module’s precise content may vary from year to year, it is envisaged that the syllabus will cover some or all of the following topics:
Introduction
Centrality
Measures of Network Structure
Social Capital
Block Models and Structural Equivalence
Basic Network Statistics
Brief overview of advanced techniques
Learning and Teaching
This table provides an overview of how your hours of study for this module are allocated:
Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
---|---|---|
22 | 128 | 0 |
...and this table provides a more detailed breakdown of the hours allocated to various study activities:
Category | Hours of study time | Description |
---|---|---|
Scheduled Learning and Teaching Activities | 22 | 11 x 2 hour sessions of lectures and demonstrations |
Guided independent study | 128 | Time spent individually undertaking data analysis for exercises, final assignment |
Online Resources
This module has online resources available via ELE (the Exeter Learning Environment).
Hanneman, Robert A. and Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside (published in digital form at http://faculty.ucr.edu/~hanneman/).