Local sign stability and its implications for spectra of sparse random graphs and stability of ecosystems

Autor: Pietro Valigi, Izaak Neri, Chiara Cammarota

Publikováno v: Journal of Physics: Complexity, Vol 5, Iss 1, p 015017 (2024)

We study the spectral properties of sparse random graphs with different topologies and type of interactions, and their implications on the stability of complex systems, with particular attention to ecosystems. Specifically, we focus on the behaviour

Externí odkaz: https://doaj.org/article/9c2b91be06694ccb9e0b48fcbd32ee87

DETECTION THRESHOLDS FOR THE β -MODEL ON SPARSE GRAPHS

Autor: Mukherjee, Rajarshi, Mukherjee, Sumit, Sen, Subhabrata

Publikováno v: The Annals of Statistics, 2018 Jun 01. 46(3), 1288-1317.

Externí odkaz: https://www.jstor.org/stable/26542825

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Fractal Gaussian Networks: A Sparse Random Graph Model Based on Gaussian Multiplicative Chaos

Autor: Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang

Publikováno v: arXiv:2008.03038v2 [stat.ML] for this version, https://doi.org/10.48550/arXiv.2008.03038
37th International Conference on Machine Learning, ICML 2020

We propose a novel stochastic network model, called Fractal Gaussian Network (FGN), that embodies well-defined and analytically tractable fractal structures. Such fractal structures have been empirically observed in diverse applications. FGNs interpo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d7b9ec6015420fb64c4f55a03bc0042
https://bura.brunel.ac.uk/handle/2438/24515