Information Commons

Location

Information Commons
Computer Room 3.02, 44 Leavygreave Road, Sheffield S3 7RD

Date

15 Apr 2020

Time

10:00 am - 4:00 pm

ONLINE TRAINING Network Analysis: Introductions to Creating and Analysing Datasets of Networks of People and/or Institutions

We are offering this training as an online webinar/ workshop. The software which will be used in this workshop is open source; if you need help to download this before the event please contact us at training@wrdtp.ac.uk

This Advanced Quantitative Methods training workshop is open to PhD and MA Social Science Research students across all 7 WRDTP interdisciplinary Pathways.

Network analysis can help us understand a wide variety of social and economic systems. In this introductory course Dr Griffith Rees will cover data processing into single mode networks (just individuals or just firms) bi-modal networks (connections between individuals and firms), means of analysing both types of networks and simple visualisations.

Students interested in network analysis will get a basic understanding of what is involved and feasible in applying network analysis to a social science research question. This includes constructing, modifying and saving a network data-set using R, some basic properties and forms of analysis that are available including visualisation and how these methods can help test hypotheses.

Students will learn:

  • What sorts of questions social network analysis can help answer
  • How to construct, save and modify a social network data-set
  • How different metrics can help test hypotheses
  • Options for visualising networks
  • Students will be able to decide on  which type of network analysis they can utilise

This AQM training session is open to all students across the WRDTP universities, however it is recommended that students attending have some basic understanding of statistics and R suite.

There are 30 places available on this training event. Joining instructions for the webinar will be sent to students who book onto the training.