activity
20102016
most citedExploiting the Structure of Bipartite Graphs for Algebraic and Spectral Graph Theory Applications

27 citations · 67 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI201620 cited

Predicting User Roles in Social Networks using Transfer Learning with Feature Transformation

Jun Sun, Jérôme Kunegis, Steffen Staab

How can we recognise social roles of people, given a completely unlabelled social network? We present a transfer learning approach to network role classification based on feature t…

cs.SI20164 cited

On the Ubiquity of Web Tracking: Insights from a Billion-Page Web Crawl

Sebastian Schelter, Jérôme Kunegis

We perform a large-scale analysis of third-party trackers on the World Wide Web from more than 3.5 billion web pages of the CommonCrawl 2012 corpus. We extract a dataset containing…

cs.SI2015

Social Networking by Proxy: A Case Study of Catster, Dogster and Hamsterster

Daniel Dünker, Jérôme Kunegis

The proliferation of online social networks in the last decade has not stopped short of pets, and many different online platforms now exist catering to owners of various pets such…

cs.DM201527 cited

Exploiting the Structure of Bipartite Graphs for Algebraic and Spectral Graph Theory Applications

Jérôme Kunegis

In this article, we extend several algebraic graph analysis methods to bipartite networks. In various areas of science, engineering and commerce, many types of information can be r…

cs.SI20146 cited

DecLiNe -- Models for Decay of Links in Networks

Julia Preusse, Jérôme Kunegis, Matthias Thimm +1

The prediction of graph evolution is an important and challenging problem in the analysis of networks and of the Web in particular. But while the appearance of new links is part of…

cs.LG201010 cited

The Link Prediction Problem in Bipartite Networks

Jérôme Kunegis, Ernesto W. De Luca, Sahin Albayrak

We define and study the link prediction problem in bipartite networks, specializing general link prediction algorithms to the bipartite case. In a graph, a link prediction function…