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CMI Short Course: Introduction to Social Network Analysis

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Course Information

CMI Short Course: Introduction to Social Network Analysis

The Cathie Marsh Institute are proud to introduce their 2026 short courses. 

All participants will receive state of the art teaching and a lunch voucher as part of the course.

Introduction to Social Network Analysis

Taught by: Nikita Basov

Location: Ellen Wilkinson Building A3.7

Abstract:   

This one-day course provides a from-scratch introduction into analysing structures of relations, such as friendships, collaborations, exchanges, or alliances between social actors, such as individuals, groups, or organizations. The course familiarises the participants with the basic concepts of social network analysis, network data, and introduces key measures and visualisation techniques offered by the UCINET point-and-click software. The acquired knowledge and skills are expected to enable exploring network data, such as finding key actors or evaluating the overall network structure and visually representing the findings in an accessible form – as well as to further navigate the vast universe of network analysis. The course features hands-on exercises with real network data in order to start with applying network analysis to participants’ own research questions.  

Prerequisites and Software Requirements:  

No quantitative analysis skills are necessary.  

To ensure a smooth learning experience, participants are required to bring their laptops with installed UCINET, available from the University Software centre or downloadable from https://sites.google.com/site/ucinetsoftware/download (the latter provides a limited-time-freeware version). This is Windows software, Mac users would need a Windows emulator. 

Course Code

CMI Intro to Social Network Analysis 2026
Course Description

Details of Sessions:  

Session 1:  

Introduction to data linkage 
Overview of Methods 
Introductory Example 
Types of data linkage  
Exact Matching 

 

Session 2:    

Standardization/parsing  
Phonetic codes and string comparators 
Blocking   
Field agreement/disagreement weights                                      

 

Session 3:  

Theory of Probabilistic Record Linkage 
Frequency and outcome specific weights         
Fellegi and Sunter T 

 

Session 4: 

Setting Thresholds 
Evaluation of data linkage procedures             

Introduction to the E-M Algorithm 

Introduction to analysis of linked data

StartEndCourse Fee 
Cathie Marsh Institute Member
27/05/202627/05/2026£10.00[Read More]
General Admission
27/05/202627/05/2026£50.00[Read More]