🚨new paper published! 🚨

„Many weak and few strong links“ seems to be a common pattern in many ecological networks. 1st author Franziska Koch shows that this pattern can enable stabilising effects of network structure, using competitive hierarchies as a case study. We argue that skewed link strength distributions should hence receive more attention, especially in studies based on #RandomMatrixTheory.

https://link.springer.com/article/10.1007/s12080-025-00626-7

#TheoreticalEcology
#EcologicalModelling
#EcologicalNetworks

Many weak and few strong links: the importance of link strength distributions for stabilising patterns in competition networks - Theoretical Ecology

Ecological networks tend to contain many weak and only a few strong links. Furthermore, link strengths are often patterned within a network in ways that enhance system stability considerably, increasing the ability of the system to return to equilibrium after a perturbation. However, little attention has been given to the relation between the skewed “many weak and few strong links” distribution and the stabilising effect of patterning. Here, we focus on the stabilising effect of a hierarchical patterning in bryozoan competition networks and demonstrate that this stabilising effect critically depends on a skewed distribution of link strengths. We first show that, in line with many other ecological networks, the empirically derived link strengths in these competition networks were characterised by a high level of skewness, with many weak and few strong links. Then, we analysed the relationship between the link strength distributions, hierarchy and stability by comparing theoretical competition matrices with different distributions of link strengths. We found that the full stabilising effect of hierarchy only appeared when we used skewed link strengths produced by a gamma distribution, but not in matrices built with uniform or half-normal distributions. This has important methodological implications, since theoretical studies often assume normal or uniform distributions to investigate ecological stability, and therefore might overlook stabilising mechanisms. These implications are relevant for theory on the relation between structure and stability of ecological networks in general, since skewed link strengths are also a common feature of food webs and mutualistic systems.

SpringerLink

Meet the new Enabla #OpenAccess lecture by Prof. Sergey Denisov from the Oslo Metropolitan University, where he discusses the theoretical and experimental aspects of parameterized circuits and their ability to simulate random unitaries, offering a deep dive into NISQ implementations and their potential for sampling random channels.

Have a question? Ask online through our website, and Sergey will help you understand the material better! A must-watch for anyone involved in quantum computing and random matrix theory!

🔗 Watch the full lecture here: https://enabla.com/pub/1122/about

Abstract: We consider the spectral properties of random quantum channels, both theoretically and experimentally, discuss parameterized circuits in their ability to simulate random unitaries, and present results confirming the ability of NISQ implementations of these circuits to sample certain ensembles of random channels

#ComputerScience #QuantumComputing #RandomMatrixTheory #QuantumCircuits #NISQ #OpenScience

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Sadly, it is already time to say goodbye to our guest student Deborah Doe. She came to visit my lab and to attend my summer course on #TheoreticalEcology. Now she's back in Ghana, preparing for her MPhil thesis. She will study the structure-stability relation of Ghanaian tree-liana interaction networks using methods from
#RandomMatrixTheory.
Stay tuned, this girl is on fire! 🔥
Random matrix theory approaches the mystery of the neutrino mass

When any matter is divided into smaller and smaller pieces, eventually all you are left with—when it cannot be divided any further—is a particle. Currently, there are 12 different known elementary particles, which in turn are made up of quarks and leptons, each of which come in six different flavors. These flavors are grouped into three generations—each with one charged and one neutral lepton—to form different particles, including the electron, muon, and tau neutrinos. In the Standard Model, the masses of the three generations of neutrinos are represented by a three-by-three matrix.

Phys.org