NetScience

Global stability of epidemic models with uniform susceptibility | PNAS Transmission dynamics of infectious diseases are often studied using compartmental mathematical models, which are commonly represented as systems o...

Global stability of epidemic models with uniform susceptibility www.pnas.org/doi/abs/10.1...

Modeling multistability and hysteresis in urban congestion spreading link.aps.org/doi/10.1103/...

Prediction and inference in complex networks: a brief review and perspectives Inference and prediction are fundamental to the study of complex systems, where network data are often incomplete, inaccurate or obtained indirectly. In this paper, we review recent advances in networ...

Prediction and inference in complex networks: a brief review and perspectives arxiv.org/abs/2512.07439

From lines to networks link.aps.org/doi/10.1103/...

Random time-shift approximation enables hierarchical Bayesian inference of mechanistic within-host viral dynamics models on large datasets Author summary Understanding how viruses reproduce within an infected host is crucial for predicting disease progression and evaluating treatments. One way to study this is by using mathematical model...

Random time-shift approximation enables hierarchical Bayesian inference of mechanistic within-host viral dynamics models on large datasets journals.plos.org/ploscompbiol...

Probabilistic greedy algorithm solver using magnetic tunneling junctions for traveling salesman problem www.nature.com/articles/s41...

Epidemic threshold and localization of the SIS model on directed complex networks link.aps.org/doi/10.1103/...

Minimax entropy: The statistical physics of optimal models link.aps.org/doi/10.1103/...

Projective limits of probabilistic symmetries and their applications to random graph limits We couple projective limits of probability measures to direct limits of their symmetry groups. We show that the direct limit group is the group of symmetries of the projective limit probability measur...

Projective limits of probabilistic symmetries and their applications to random graph limits arxiv.org/abs/2512.02208

Deterministic construction of typical networks in network models It is often desirable to assess how well a given dataset is described by a given model. In network science, for instance, one often wants to say that a given real-world network appears to come from a ...

Deterministic construction of typical networks in network models arxiv.org/abs/2512.02254

A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical Insights Identifying central entities and interactions is a fundamental problem in network science. While well-studied for graphs (pairwise relations), many biological and social systems exhibit higher-order i...

A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical Insights arxiv.org/abs/2512.00107

Clustering-induced localization of quantum walks on networks link.aps.org/doi/10.1103/...

Hyperbolic embedding of multilayer networks link.aps.org/doi/10.1103/...

Recurrent visitations expose the paradox of human mobility in the 15-Minute City vision In the transition towards sustainability and equity, proximity-centred planning has been adopted in cities worldwide. Exemplified by the 15-Minute City (15mC), this emerging planning paradigm assumes ...

Recurrent visitations expose the paradox of human mobility in the 15-Minute City vision arxiv.org/abs/2509.00919

Multilayer network science: theory, methods, and applications Multilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increasing availability of...

Multilayer network science: theory, methods, and applications arxiv.org/abs/2511.23371

Quantifying the Spatial and Demographic Scales of Segregation Cities around the world exhibit residential segregation along ethnic, religious, socioeconomic, and other social divides. As high-resolution demographic and spatial data become widely available, decom...

Quantifying the Spatial and Demographic Scales of Segregation arxiv.org/abs/2511.23069

Edge-based reputation promotes cooperation in simplicial complexes Understanding how cooperation emerges and persists is a central challenge in the evolutionary dynamics of social and biological systems. Most prior studies have examined cooperation through pairwise i...

Edge-based reputation promotes cooperation in simplicial complexes arxiv.org/abs/2511.22234

Urban contact patterns shape respiratory syncytial virus epidemics with implications for vaccination The age structure and intensity of RSV outbreaks differ across urban and rural locations.

Urban contact patterns shape respiratory syncytial virus epidemics with implications for vaccination | Science Advances www.science.org/doi/10.1126/...

Assessing (im)balance in signed brain networks Many complex systems - be they financial, natural, or social - are composed of units - such as stocks, neurons, or agents - whose joint activity can be represented as a multivariate time series. An is...

Assessing (im)balance in signed brain networks arxiv.org/abs/2508.00542

The potential existential threat of large language models to online survey research www.pnas.org/doi/abs/10.1...

Perception of own centrality in social networks www.pnas.org/doi/abs/10.1...

Mining higher-order triadic interactions www.nature.com/articles/s41...

The Effects of Remote Working on Scientific Collaboration and Impact The COVID-19 pandemic shifted academic collaboration from in-person to remote interactions. This study explores, for the first time, the effects on scientific collaborations and impact of such a shift...

The Effects of Remote Working on Scientific Collaboration and Impact arxiv.org/abs/2511.18481

Signed Networks: theory, methods, and applications Signed networks provide a principled framework for representing systems in which interactions are not merely present or absent but qualitatively distinct: friendly or antagonistic, supportive or confl...

Signed Networks: theory, methods, and applications arxiv.org/abs/2511.17247

Modeling memory in time-respecting paths on temporal networks Human close-range proximity interactions are the key determinant for spreading processes like knowledge diffusion, norm adoption, and infectious disease transmission. These dynamical processes can be ...

Modeling memory in time-respecting paths on temporal networks arxiv.org/abs/2511.17108

Spatiotemporal Activity-Driven Networks Temporal-network models have provided key insights into how time-varying connectivity shapes dynamical processes such as spreading. Among them, the activity-driven model is a widely used, analytically...

Spatiotemporal Activity-Driven Networks arxiv.org/abs/2511.15533

Navigating the Ethical and Societal Impacts of Generative AI in Higher Computing Education Generative AI (GenAI) presents societal and ethical challenges related to equity, academic integrity, bias, and data provenance. In this paper, we outline the goals, methodology and deliverables of th...

Navigating the Ethical and Societal Impacts of Generative AI in Higher Computing Education arxiv.org/abs/2511.15768

Phase transitions from linear to nonlinear information processing in neural networks link.aps.org/doi/10.1103/...

Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion Graph Neural Networks (GNNs) have achieved remarkable success across diverse applications, yet they remain limited by oversmoothing and poor performance on heterophilic graphs. To address these challe...

Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion arxiv.org/abs/2511.13937

Great collaboration with: @ngozzi.bsky.social @mattk7.bsky.social @jessica-davis.bsky.social Corrado Gioannini, Luca Rossi, Marco Ajelli, @alexvespi.bsky.social