Interacting spreading processes in multilayer networks
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Abstract (arXiv)
The world of network science is fascinating and filled with complex phenomena that we aspire to understand. One of them is the dynamics of spreading processes over complex networked structures. Building the knowledge-base in the field where we can face more than one spreading process propagating over a network that has more than one layer is a challenging task, as the complexity comes both from the environment in which the spread happens and from characteristics and interplay of spreads' propagation. As this cross-disciplinary field bringing together computer science, network science, biology and physics has rapidly grown over the last decade, there is a need to comprehensively review the current state-of-the-art and offer to the research community a roadmap that helps to organise the future research in this area. Thus, this survey is a first attempt to present the current landscape of the multi-processes spread over multilayer networks and to suggest the potential ways forward.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Mar 2019.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 1.
4 papers.
- 2022Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Surveycited by 8
- 2023Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rulescited by 4
- 2023Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systemscited by 1
- 2025From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walkscited by 0
- 2025From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks3 Sep 2025
- 2023Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems23 Sep 2023
- 2023Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules18 Aug 2023
- 2022Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey15 Feb 2022