Visually Mining Event Data


Proceedings published by an event such as a conference are interesting data for understanding how a community is composed and evolve in time. Authors collaborate among them in publications generating clusters. These clusters differ in shape, some of them are composed by few authors that consistently publish their work. In other cases, we can identify a central author that have many co-authors. Sometimes authors in a cluster have the same affiliation, while in others different organisations collaborate together.


Visualisation can be a great tool for analysing these communities. In this project, we will work building tools for extracting, modelling and visualissing the data.


Further reading

Presentation by Dominik SelinerEggShell — a workbench for the assessment of modeling pipelines for scientific communities

Contact Leonel Merino