activity
20072023
most citedLink communities reveal multiscale complexity in networks

2k citations · 5.5k across the 53 of their papers we have counts for

collaborators

58 papers

stat.ML2023★ 89 cited

Using Sequences of Life-events to Predict Human Lives

Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen +5

Over the past decade, machine learning has revolutionized computers' ability to analyze text through flexible computational models. Due to their structural similarity to written la…

physics.soc-ph2023★ 2 cited

Far-reaching consequences of trait preferences for animal social network structure and function

Josefine Bohr Brask, Andreas Koher, Darren P. Croft +1

Social network structures play an important role in the lives of animals by affecting individual fitness and the spread of disease and information. Nevertheless, we still lack a go…

cs.CL2023★ 5 cited

Dialectograms: Machine Learning Differences between Discursive Communities

Thyge Enggaard, August Lohse, Morten Axel Pedersen +1

Word embeddings provide an unsupervised way to understand differences in word usage between discursive communities. A number of recent papers have focused on identifying words that…

physics.data-an2022

Monitoring Public Behavior During a Pandemic Using Surveys: Proof-of-Concept Via Epidemic Modelling

Andreas Koher, Frederik Jørgensen, Michael Bang Petersen +1

Implementing a lockdown for disease mitigation is a balancing act: Non-pharmaceutical interventions can reduce disease transmission significantly, but interventions also have consi…

cs.SI2022★ 2 cited

Generating fine-grained surrogate temporal networks

Antonio Longa, Giulia Cencetti, Sune Lehmann +2

Temporal networks are essential for modeling and understanding systems whose behavior varies in time, from social interactions to biological systems. Often, however, real-world dat…

physics.soc-ph2022★ 33 cited

The effect of co-location on human communication networks

Daniel Carmody, Martina Mazzarello, Paolo Santi +5

The ability to rewire ties in communication networks is vital for large-scale human cooperation and the spread of new ideas. We show that lack of researcher co-location during the…