Towards real-world complexity: an introduction to multiplex networks
arXiv:1502.03909 · doi:10.1140/epjb/e2015-50742-1
Abstract
Many real-world complex systems are best modeled by multiplex networks of interacting network layers. The multiplex network study is one of the newest and hottest themes in the statistical physics of complex networks. Pioneering studies have proven that the multiplexity has broad impact on the system's structure and function. In this Colloquium paper, we present an organized review of the growing body of current literature on multiplex networks by categorizing existing studies broadly according to the type of layer coupling in the problem. Major recent advances in the field are surveyed and some outstanding open challenges and future perspectives will be proposed.
20 pages, 10 figures
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Cited by in corpus (40)
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- Multilayer Networks in a Nutshell
- Synchronization in networks with multiple interaction layers
- The new challenges of multiplex networks: measures and models
- Dynamics of social contagions with memory of non-redundant information
- Redundant interdependencies boost the robustness of multilayer networks
- Message passing theory for percolation models on multiplex networks with link overlap
- Two distinct transitions in spatially embedded multiplex networks
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- Model of human collective decision-making in complex environments
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