4 papers
Thematic recommendations on knowledge graphs using multilayer networks
Mariano Beguerisse-Díaz, Dimitrios Korkinof, Till Hoffmann
We present a framework to generate and evaluate thematic recommendations based on multilayer network representations of knowledge graphs (KGs). In this representation, each layer e…
Inference of a universal social scale and segregation measures using social connectivity kernels
Till Hoffmann, Nick S. Jones
How people connect with one another is a fundamental question in the social sciences, and the resulting social networks can have a profound impact on our daily lives. Blau offered…
Community detection in networks without observing edges
Till Hoffmann, Leto Peel, Renaud Lambiotte +1
We develop a Bayesian hierarchical model to identify communities in networks for which we do not observe the edges directly, but instead observe a series of interdependent signals…
Bayesian hierarchical modelling of weak lensing - the golden goal
Alan Heavens, Justin Alsing, Andrew Jaffe +3
To accomplish correct Bayesian inference from weak lensing shear data requires a complete statistical description of the data. The natural framework to do this is a Bayesian Hierar…