11 citations · 26 across the 8 of their papers we have counts for
8 papers
Harder, shorter, sharper, forward: A comparison of women's and men's elite football gameplay (2020-2025)
Rebecca Carstens, Raj Deshpande, Pau Esteve +9
Elite football is believed to have evolved in recent years, yet systematic evidence for the pace and form of that change remains sparse. Drawing on event-level records for 13,018 m…
Temporal dynamics of goal scoring in soccer
Guteraa Ayana, Alexander Ehlert, Joseph Ehlert +3
We investigated the temporal distribution of goals in soccer using event-level data from 3,433 matches across 21 leagues and competitions. Contrary to the prevailing notion of rand…
The role of interface design on prompt-mediated creativity in Generative AI
Maddalena Torricelli, Mauro Martino, Andrea Baronchelli +1
Generative AI for the creation of images is becoming a staple in the toolkit of digital artists and visual designers. The interaction with these systems is mediated by \emph{prompt…
Beyond Active Engagement: The Significance of Lurkers in a Polarized Twitter Debate
Anees Baqir, Yijing Chen, Fernando Diaz-Diaz +6
The emergence of new public forums in the shape of online social media has introduced unprecedented challenges to public discourse, including polarization, misinformation, and the…
Hurricanes Increase Climate Change Conversations on Twitter
Maddalena Torricelli, Max Falkenberg, Alessandro Galeazzi +3
The public understanding of climate change plays a critical role in translating climate science into climate action. In the public discourse, climate impacts are often discussed in…
Growing polarisation around climate change on social media
Max Falkenberg, Alessandro Galeazzi, Maddalena Torricelli +8
Climate change and political polarisation are two of the 21st century's critical socio-political issues. Here, we investigate their intersection by studying the discussion around t…
weg2vec: Event embedding for temporal networks
Maddalena Torricelli, Márton Karsai, Laetitia Gauvin
Network embedding techniques are powerful to capture structural regularities in networks and to identify similarities between their local fabrics. However, conventional network emb…
Maximum entropy approach to link prediction in bipartite networks
M. Baltakiene, K. Baltakys, D. Cardamone +5
Within network analysis, the analytical maximum entropy framework has been very successful for different tasks as network reconstruction and filtering. In a recent paper, the same…