Multi-Level Graph Representation for Big Data Arising in Science Mapping (Dagstuhl Seminar 21152)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 21152 “Multi-Level Graph Representation for Big Data Arising in Science Mapping.” The seminar brought together researchers coming from information visualization, psychology, cognitive science, human-computer interaction, graph drawing, computational geometry, and cartography with interests in the “science of science” to discuss novel graph mining and layout algorithms and their application to the development of science mapping standards and services. Due to the pandemic, this was a “hybrid” event with only 5 in-person participants and 25 by-zoom participants from over ten different countries and at least five different time-zones. There were three overview talks and four special presentations (evening webinars) from different communities represented in the seminar. Abstracts of these talks and presentations are collected in this report. Three working groups formed around open research problems related to the seminar topic and we report about their findings. Seminar April 11–16, 2021 – http://www.dagstuhl.de/21152 2012 ACM Subject Classification Theory of computation → Design and analysis of algorithms; Human-centered computing → Visualization design and evaluation methods