Webinar: Social Network Analysis: Techniques and Methods of Analysis

Date:

29/09/2020

Organised by:

UK Data Service

Presenter:

tbc

Level:

Intermediate (some prior knowledge)

Contact:

Gillian Meadows
Gillian.Meadows@manchester.ac.uk

video conference logo

Venue: Online

Description:

Vast swathes of our social interactions and personal behaviours are now conducted online and/or captured digitally. Thus, computational methods for collecting, cleaning and analysing data are an increasingly important component of a social scientist’s toolkit. Social Network Analysis (SNA) offers a rich and insightful methodological approach for uncovering and understanding social structures, relations and networks of association.

 

This free webinar, organised by the UK Data Service, is the third in a series of three on understanding and using SNA methods for social science research purposes. In this webinar we define and demonstrate basic and intermediate methods of analysis, including measuring network size, density, cohesion, paths, structural holes and more. We also reference more advanced approaches (e.g. exponential random graph modelling, relational event modelling). As a result of attending this webinar, participants will understand how to make sense of and draw substantive insights from social network data.

 

Details:

  • Level: Intermediate, for individuals with some prior knowledge of social network concepts and data
  • Duration: 45 minutes, followed by questions
  • Pre-requisites: The following webinars cover necessary background knowledge and skills:
    - Social Network Analysis: Basic Concepts
    - Social Network Analysis: Getting and Marshalling Data
  • Audience: Researchers and analysts from any disciplinary background interested in employing network analysis for social science research purposes
  • Programming language: Python
  • Materials: Participants will have access to an interactive online notebook through which they can replicate the analysis using Python
  • Learning outcomes: Understand a range of basic and intermediate analytical methods for use with social network data and be able to use Python for analysing social network data

Cost:

free

Website and registration:

Region:

International

Keywords:

Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis

Related publications and presentations:

Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis

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