most citedHypergraphx: a library for higher-order network analysis

40 citations · 116 across the 7 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2023★ 3 cited

Unraveling higher-order dynamics in collaboration networks

David Abella, Piero Birello, Leonardo Di Gaetano +4

The interactions between individuals play a pivotal role in shaping the structure and dynamics of social systems. Complex network models have proven invaluable in uncovering the un…

physics.soc-ph2023★ 40 cited

Percolation and Topological Properties of Temporal Higher-order Networks

Leonardo Di Gaetano, Federico Battiston, Michele Starnini

Many complex systems that exhibit temporal non-pairwise interactions can be represented by means of generative higher-order network models. Here, we propose a hidden variables form…

physics.soc-ph2023★ 40 cited

Hypergraphx: a library for higher-order network analysis

Quintino Francesco Lotito, Martina Contisciani, Caterina De Bacco +6

From social to biological systems, many real-world systems are characterized by higher-order, non-dyadic interactions. Such systems are conveniently described by hypergraphs, where…

cond-mat.dis-nn2023★ 7 cited

Dynamical fluctuations of random walks in higher-order networks

Leonardo Di Gaetano, Giorgio Carugno, Federico Battiston +1

Although higher-order interactions are known to affect the typical state of dynamical processes giving rise to new collective behavior, how they drive the emergence of rare events…

physics.data-an2023★ 16 cited

Lyapunov Exponents for Temporal Networks

Annalisa Caligiuri, Victor M. Eguiluz, Leonardo di Gaetano +2

By interpreting a temporal network as a trajectory of a latent graph dynamical system, we introduce the concept of dynamical instability of a temporal network, and construct a meas…

physics.soc-ph2022★ 6 cited

Temporal patterns of reciprocity in communication networks

Sandeep Chowdhary, Elsa Andres, Adriana Manna +3

Human communication, the essence of collective social phenomena ranging from small-scale organizations to worldwide online platforms, features intense reciprocal interactions betwe…

cond-mat.stat-mech2022★ 4 cited

Maximal dispersion of adaptive random walks

Gabriele Di Bona, Leonardo Di Gaetano, Vito Latora +1

Maximum entropy random walks (MERWs) are maximally dispersing and play a key role in optimizing information spreading in various contexts. However, building MERWs comes at the cost…