Simplicial models of social contagion
Turing Institute · Queen Mary University of London · +9 more institutions
Abstract
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 characterize social contagion processes such as opinion formation or the adoption of novelties, where complex mechanisms of influence and reinforcement are at work. Here we introduce a higher-order model of social contagion in which a social system is represented by a simplicial complex and contagion can occur through interactions in groups of different sizes. Numerical simulations of the model on both empirical and synthetic simplicial complexes highlight the emergence of novel phenomena such as a discontinuous transition induced…
Citation impact
- FWCI
- 35.88
- Percentile
- 100%
- References
- 58
Authors
4- IIIacopo IacopiniCorresponding
Turing Institute, Queen Mary University of London, British Library, The Alan Turing Institute
- GPGiovanni Petri
Institute for Scientific Interchange, ISI Foundation
- ABAlain Barrat
Centre National de la Recherche Scientifique, Institute for Scientific Interchange, Université de Toulon
- VLVito Latora
Turing Institute, Queen Mary University of London, University of Catania, Complexity Science Hub, Istituto Nazionale di Fisica Nucleare, Sezione di Catania
Topics & keywords
- Bistability
- Emotional contagion
- Complex network
- Complex system
- Pairwise comparison
- Voter model
- Social network (sociolinguistics)
- Transition (genetics)