Interacting spreading processes in multilayer networks

Abstract

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.

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Cited by in corpus (11)

• Sequential seeding in multilayer networks
• Effective Influence Spreading in Temporal Networks with Sequential Seeding
• The role of time scale in the spreading of asymmetrically interacting diseases
• Competition between vaccination and disease spreading
• Impacts of Physical-Layer Information on Epidemic Spreading in Cyber-Physical Networked Systems
• Influence of Information Blocking on the Spread of Virus in Multilayer Networks
• Complex social contagion induces bistability on multiplex networks
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• Network Diffusion -- Framework to Simulate Spreading Processes in Complex Networks
• The role of conformity in opinion dynamics modelling with multiple social circles
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