Following the 2019 workshop, which focused on the use of time series as a way to understand and visualize humanities data, the 2020 workshop is dedicated to how network exploration and analysis can be similarly used to understand and visualize data. The questions at the focus the workshop are: How can network visualisations provide a distant viewing of data? What are the different steps to build a network? How to read it?
These are the questions, but in the wake of the COVID pandemic and the re-structuring of this year’s DH2020 conference, we have some different answers than we intended. Instead of our planned series of events, we are planning to offer a series of videos that anyone with an internet connection (and bandwidth) can view. Then, on the day of the workshop, July 21,2020, we will host a live stream for registered participants to work with our presenter, Mathieu Jacomy, one of the developers of Gephi. Like last year’s workshop, we will also have facilitators on hand to help with any technical, procedural, or theoretical issues that arise over the course of the workshop that participants prefer to be addressed individually.
The videos themselves are described in the schedule below and will be made available a week before the workshop on July 14, 2020, along with other materials, like sample datasets, which we hope will maximize our time together.
We hope you will join us for this series of asynchronous and synchronous events! If you cannot, please feel free to view and/or download the materials and explore network studies of culture in a way most productive to you! If you have any questions, please feel free to contact one of us.
Please sign up for the workshop using this Google Form. (If you have any difficulties or prefer not to use Google Forms, please email one of the workshop facilitators: we will log your registration.) Please note that, for the time being, we are offering registration on a first-come, first-served basis.
More information here : https://github.com/CultureAnalytics/DH2020
Clarisse Bardiot, Mila Oiva and John Lundun.