Configuring random graph models with fixed degree sequences
TLDR
Random graph null models have found widespread application in diverse research communities analyzing network datasets, including social, information, and economic networks, as well as food webs, pr....Abstract:
Random graph null models have found widespread application in diverse research communities analyzing network datasets, including social, information, and economic networks, as well as food webs, pr...read more
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Networks beyond pairwise interactions: Structure and dynamics
Federico Battiston,Giulia Cencetti,Iacopo Iacopini,Iacopo Iacopini,Vito Latora,Maxime Lucas,Alice Patania,Jean-Gabriel Young,Giovanni Petri +8 more
TL;DR: A complete overview of the emerging field of networks beyond pairwise interactions, and focuses on novel emergent phenomena characterizing landmark dynamical processes, such as diffusion, spreading, synchronization and games, when extended beyond Pairwise interactions.
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Random walks and diffusion on networks
TL;DR: Random walks have been studied for many decades on both regular lattices and (especially in the last couple of decades) on networks with a variety of structures as discussed by the authors, and they are one of the most fundamental types of stochastic processes; can be used to model numerous phenomena, including diffusion, interactions, and opinions among humans and animals; and can extract information about important entities or dense groups of entities in networks.
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Social physics
TL;DR: The field of social physics has been a hot topic in the last few decades as mentioned in this paper , with many researchers venturing outside of their traditional domains of interest, but also taking from physics the methods that have proven so successful throughout the 19th and the 20th century.
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The use of multilayer network analysis in animal behaviour
TL;DR: This article details several multilayer methods, which can provide new insights into questions about animal sociality at individual, group, population and evolutionary levels of organization, and gives examples for how to implement multilayers methods.
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Nestedness in complex networks: Observation, emergence, and implications
Manuel Sebastian Mariani,Manuel Sebastian Mariani,Zhuo-Ming Ren,Jordi Bascompte,Claudio J. Tessone +4 more
TL;DR: This review is the first comprehensive attempt to unify both streams of studies, usually disconnected from each other, on nestedness, and surveys results from variegated disciplines, including statistical physics, graph theory, ecology, and theoretical economics.