1.6k citations · 4.7k across the 27 of their papers we have counts for
29 papers
Evidence of social learning across symbolic cultural barriers in sperm whales
António Leitão, Maxime Lucas, Simone Poetto +5
We provide quantitative evidence suggesting social learning in sperm whales across socio-cultural boundaries, using acoustic data from the Pacific and Atlantic Oceans. Traditionall…
A unified framework for Simplicial Kuramoto models
Marco Nurisso, Alexis Arnaudon, Maxime Lucas +4
Simplicial Kuramoto models have emerged as a diverse and intriguing class of models describing oscillators on simplices rather than nodes. In this paper, we present a unified frame…
Hyper-cores promote localization and efficient seeding in higher-order processes
Marco Mancastroppa, Iacopo Iacopini, Giovanni Petri +1
Going beyond networks, to include higher-order interactions of arbitrary sizes, is a major step to better describe complex systems. In the resulting hypergraph representation, tool…
Entropy-based models to randomize real-world hypergraphs
Fabio Saracco, Giovanni Petri, Renaud Lambiotte +1
Network theory has often disregarded many-body relationships, solely focusing on pairwise interactions: neglecting them, however, can lead to misleading representations of complex…
Simplicially driven simple contagion
Maxime Lucas, Iacopo Iacopini, Thomas Robiglio +2
Single contagion processes are known to display a continuous transition from an epidemic-free phase at low contagion rates to the epidemic state for rates above a critical threshol…
Unveiling the higher-order organization of multivariate time series
Andrea Santoro, Federico Battiston, Giovanni Petri +1
Time series analysis has proven to be a powerful method to characterize several phenomena in biology, neuroscience and economics, and to understand some of their underlying dynamic…
Multistability, intermittency and hybrid transitions in social contagion models on hypergraphs
Guilherme Ferraz de Arruda, Giovanni Petri, Pablo Martín Rodriguez +1
Although ubiquitous, interactions of groups of individuals (e.g., modern messaging applications, group meetings, or even a parliament discussion) are not yet thoroughly studied. Fr…
Connecting Hodge and Sakaguchi-Kuramoto: a mathematical framework for coupled oscillators on simplicial complexes
Alexis Arnaudon, Robert L. Peach, Giovanni Petri +1
We formulate a general Kuramoto model on weighted simplicial complexes where phases oscillators are supported on simplices of any order . Crucially, we introduce linear and non-…
The physics of higher-order interactions in complex systems
Federico Battiston, Enrico Amico, Alain Barrat +11
Complex networks have become the main paradigm for modelling the dynamics of interacting systems. However, networks are intrinsically limited to describing pairwise interactions, w…
Influential groups for seeding and sustaining nonlinear contagion in heterogeneous hypergraphs
Guillaume St-Onge, Iacopo Iacopini, Vito Latora +4
Several biological and social contagion phenomena, such as superspreading events or social reinforcement, are the results of multi-body interactions, for which hypergraphs offer a…
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales
Jacob Andreas, Gašper Beguš, Michael M. Bronstein +16
The past decade has witnessed a groundbreaking rise of machine learning for human language analysis, with current methods capable of automatically accurately recovering various asp…
Group interactions modulate critical mass dynamics in social convention
Iacopo Iacopini, Giovanni Petri, Andrea Baronchelli +1
How can minorities of individuals overturn social conventions? The theory of critical mass states that when a committed minority reaches a critical size, a cascade of behavioural c…
Hypergraph reconstruction from network data
Jean-Gabriel Young, Giovanni Petri, Tiago P. Peixoto
Networks can describe the structure of a wide variety of complex systems by specifying which pairs of entities in the system are connected. While such pairwise representations are…
Networks beyond pairwise interactions: structure and dynamics
Federico Battiston, Giulia Cencetti, Iacopo Iacopini +5
The complexity of many biological, social and technological systems stems from the richness of the interactions among their units. Over the past decades, a great variety of complex…
Homological Scaffold via Minimal Homology Bases
Marco Guerra, Alessandro De Gregorio, Ulderico Fugacci +2
The homological scaffold leverages persistent homology to construct a topologically sound summary of a weighted network. However, its crucial dependency on the choice of representa…
Social contagion models on hypergraphs
Guilherme Ferraz de Arruda, Giovanni Petri, Yamir Moreno
Our understanding of the dynamics of complex networked systems has increased significantly in the last two decades. However, most of our knowledge is built upon assuming pairwise r…
Simplex2Vec embeddings for community detection in simplicial complexes
Jacob Charles Wright Billings, Mirko Hu, Giulia Lerda +5
Topological representations are rapidly becoming a popular way to capture and encode higher-order interactions in complex systems. They have found applications in disciplines as di…
Impact of the distribution of recovery rates on disease spreading in complex networks
Guilherme Ferraz de Arruda, Giovanni Petri, Francisco A. Rodrigues +1
We study a general epidemic model with arbitrary recovery rate distributions. This simple deviation from the standard setup is sufficient to prove that heterogeneity in the dynamic…
Simplicial models of social contagion
Iacopo Iacopini, Giovanni Petri, Alain Barrat +1
Complex networks have been successfully used to describe the spread of diseases in populations of interacting individuals. Conversely, pairwise interactions are often not enough to…
Simplicial Activity Driven Model
Giovanni Petri, Alain Barrat
Many complex systems find a convenient representation in terms of networks: structures made by pairwise interactions (links) of elements (nodes). For many biological and social sys…
Topological limits to parallel processing capability of network architectures
Giovanni Petri, Sebastian Musslick, Biswadip Dey +5
The ability to learn new tasks and generalize performance to others is one of the most remarkable characteristics of the human brain and of recent AI systems. The ability to perfor…
A Formal Approach to Modeling the Cost of Cognitive Control
Kayhan Ozcimder, Biswadip Dey, Sebastian Musslick +4
This paper introduces a formal method to model the level of demand on control when executing cognitive processes. The cost of cognitive control is parsed into an intensity cost whi…
Construction of and efficient sampling from the simplicial configuration model
Jean-Gabriel Young, Giovanni Petri, Francesco Vaccarino +1
Simplicial complexes are now a popular alternative to networks when it comes to describing the structure of complex systems, primarily because they encode multi-node interactions e…
On the predictability of infectious disease outbreaks
Samuel V. Scarpino, Giovanni Petri
Infectious disease outbreaks recapitulate biology: they emerge from the multi-level interaction of hosts, pathogens, and their shared environment. As a result, predicting when, whe…