Complexity Thoughts: Issue #9
Unraveling complexity: building knowledge, one paper at a time
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Networks and Complex Systems Foundations
Signal propagation in complex networks
An up-to-date review of the complexities associated with the network’s role in propagating signals in the hope of better harnessing this to devise innovative applications across engineering, the social and natural sciences.
A new review with detailed description of adaptive dynamical networks, showing their applications in various areas of research, highlighting their dynamical features and describing the arising dynamical phenomena, and giving an overview of the available mathematical methods developed for understanding adaptive dynamical networks.
Robustness and complexity co-constructed in multimodal signalling networks
Robustness ensures the accurate decoding of a signal when parts of a signal are occluded. This paper is about the principle of robust overdesign – stating that robustness is also responsible for correlations among information channels producing complex, associative networks as a by-product – and its main implications.
Is thermodynamics fundamental?
The title is rather self-explanatory. I have recently listened to a talk by the lead author and this paper is thought-provoking.
Data Science
A physics-driven machine learning approach to discover physical laws: it sounds very interesting and can’t wait to see the version of the paper after peer-review.
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