[HTML][HTML] Random walks and diffusion on networks
Random walks are ubiquitous in the sciences, and they are interesting from both theoretical
and practical perspectives. They are one of the most fundamental types of stochastic …
and practical perspectives. They are one of the most fundamental types of stochastic …
Multilayer networks in a nutshell
Complex systems are characterized by many interacting units that give rise to emergent
behavior. A particularly advantageous way to study these systems is through the analysis of …
behavior. A particularly advantageous way to study these systems is through the analysis of …
A survey of community detection methods in multilayer networks
X Huang, D Chen, T Ren, D Wang - Data Mining and Knowledge …, 2021 - Springer
Community detection is one of the most popular researches in a variety of complex systems,
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …
The use of multilayer network analysis in animal behaviour
Highlights•We review the mathematical formalism of multilayer networks for animal
behaviour.•It allows the investigation of new research questions in animal social …
behaviour.•It allows the investigation of new research questions in animal social …
Principled multilayer network embedding
W Liu, PY Chen, S Yeung… - … Conference on Data …, 2017 - ieeexplore.ieee.org
Multilayer network analysis has become a vital tool for understanding different relationships
and their interactions in a complex system, where each layer in a multilayer network depicts …
and their interactions in a complex system, where each layer in a multilayer network depicts …
Community detection in multiplex networks
A multiplex network models different modes of interaction among same-type entities. In this
article, we provide a taxonomy of community detection algorithms in multiplex networks. We …
article, we provide a taxonomy of community detection algorithms in multiplex networks. We …
A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions
Sensibly highlighting the hidden structures of many real-world networks has attracted
growing interest and triggered a vast array of techniques on what is called nowadays …
growing interest and triggered a vast array of techniques on what is called nowadays …
Multilayer network simplification: approaches, models and methods
Multilayer networks have been widely used to represent and analyze systems of
interconnected entities where both the entities and their connections can be of different …
interconnected entities where both the entities and their connections can be of different …
The atlas for the aspiring network scientist
M Coscia - arXiv preprint arXiv:2101.00863, 2021 - arxiv.org
Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …
via their representations as networks. We normally model such networks as graphs: sets of …
Nonlinearity+ networks: A 2020 vision
MA Porter - Emerging frontiers in nonlinear science, 2020 - Springer
I briefly survey several fascinating topics in networks and nonlinearity. I highlight a few
methods and ideas, including several of personal interest, that I anticipate to be especially …
methods and ideas, including several of personal interest, that I anticipate to be especially …