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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes
An introductory workshop that considers ways of using Gephi software to visualize network patterns with your text-based research. Using a text-based data-set, the course will consider how Gephi can be used to generate relational patterns, assemblages, and networks.
Software: Gephi
Duration: 90 min

Room description:

During the Fall 2021 semester, some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering

Prerequisites: None
Skills Taught / Learning Outcomes:
  • Learn methodological terms and definition for building a network diagram
  • Navigate the software platform of the network diagram tool, Gephi
  • Build a dataset and understand data necessary to create network diagram in Gephi
  • Understand ways to clean and curate data
  • Format and design Gephi output
  • Publish graphs created in Gephi
Class Materials:
Related Classes:

Introduction to R

Introduction to Stata

Introduction to NVivo

Introduction to ATLAS.ti

Digital Tools for Qualitative Data Analysis

Introduction to Python

Additional Training Materials:

Network diagrams guide

Feedback: bit.ly/feedbackds

 

Upcoming sessions for this tutorial