activity
20172022
most citedInteracting discovery processes on complex networks

57 citations · 59 across the 2 of their papers we have counts for

collaborators

6 papers

physics.soc-ph20222 cited

Social interactions affect discovery processes

Gabriele Di Bona, Enrico Ubaldi, Iacopo Iacopini +3

Our network of acquaintances determines how we get exposed to ideas, products, or cultural artworks (books, music, movies, etc.). Though this principle is part of our common sense,…

physics.soc-ph202057 cited

Interacting discovery processes on complex networks

Iacopo Iacopini, Gabriele Di Bona, Enrico Ubaldi +2

Innovation is the driving force of human progress. Recent urn models reproduce well the dynamics through which the discovery of a novelty may trigger further ones, in an expanding…

physics.soc-ph2020

The exploration of the Adjacent Possible explains the emergence and evolution of social networks

Enrico Ubaldi, Raffaella Burioni, Vittorio Loreto +1

The interactions among human beings represent the backbone of our societies. How people interact, establish new connections, and allocate their activities among these links can rev…

physics.soc-ph2018

Epidemic Spreading and Aging in Temporal Networks with Memory

Michele Tizzani, Simone Lenti, Enrico Ubaldi +3

Time-varying network topologies can deeply influence dynamical processes mediated by them. Memory effects in the pattern of interactions among individuals are also known to affect…

physics.soc-ph2018

Political Discussion and Leanings on Twitter: the 2016 Italian Constitutional Referendum

Jacopo Bindi, Davide Colombi, Flavio Iannelli +4

The recent availability of large, high-resolution data sets of online human activity allowed for the study and characterization of the mechanisms shaping human interactions at an u…

physics.soc-ph2017

Epidemic spreading in modular time-varying networks

Matthieu Nadini, Kaiyuan Sun, Enrico Ubaldi +3

We investigate the effects of modular and temporal connectivity patterns on epidemic spreading. To this end, we introduce and analytically characterise a model of time-varying netw…