no code implementations • 15 Feb 2023 • Jérôme Kunegis, Pawan Kumar, Jun Sun, Anna Samoilenko, Giuseppe Pirró
In this paper we take the problem of visualising large graphs from a novel perspective: we leave the original graph's nodes and edges behind, and instead summarise its properties such as the clustering coefficient and bipartivity by generating a completely new graph whose structural properties match that of the original graph.
no code implementations • 21 Sep 2020 • Jérôme Kunegis
We show in this article that most numerical network characteristics follow statistically significant trends going either up or down, and that these trends can be predicted by considering the notion of diversity.
no code implementations • 16 Oct 2019 • Jun Sun, Steffen Staab, Jérôme Kunegis
A detailed understanding of users contributes to the understanding of the Web's evolution, and to the development of Web applications.
no code implementations • 9 Nov 2016 • Jun Sun, Jérôme Kunegis, Steffen Staab
How can we recognise social roles of people, given a completely unlabelled social network?
1 code implementation • 22 Feb 2014 • Jérôme Kunegis
This is the handbook for the KONECT project, the \emph{Koblenz Network Collection}, a scientific project to collect, analyse, and provide network datasets for researchers in all related fields of research, by the Namur Center for Complex Systems (naXys) at the University of Namur, Belgium, with web hosting provided by the Institute for Web Science and Technologies (WeST) at the University of Koblenz--Landau, Germany.
Social and Information Networks Physics and Society