O ENREDANDO 2026, a Escola Ibero-americana de Redes e Sistemas Complexos (Escuela Iberoamericana de Redes y Sistemas Complejos) do LANET (@lanetconference.bsky.social) será em Viçosa, Minas Gerais, Brasil!

📅 27 a 31 de julho de 2026

Mais informações em enredando.giscbr.org

Organização: GISC/UFV

[...] which are a two-dimensional map and the FitzHugh-Nagumo neuron model. The results show that in both cases, the system can be self-tuned to its bifurcation point by modifying the control parameter according to the first coefficient of the autocorrelation function.
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This work is part of a collaboration between GISC and CEMSC³ - Argentina. In this publication, the authors present numerical evidence that the dynamics of a single neuron can be controlled in the vicinity of its bifurcation point. The approach is tested in two models, [...]
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[...] depending on the nature of those couplings. In particular, a controversy-seeking mechanism, in which agents are stimulated to postpone their transitions to the stiffer state upon interactions with other agents of confronting opinions, enhances the rumor spreading.
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The authors reported that a highly modular topology of polarized networks strongly impairs rumor spreading, but the couplings between agents’ opinions and their spreading/stifling rates can either further inhibit or, conversely, foster information propagation, [...]
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From X, Mar 15, 2023:

A new paper is out! “Controversy-seeking fuels rumor-telling activity in polarized opinion networks” by Hugo P. Maia, @silviojrufv.bsky.social, and Marcelo Martins was published in Chaos, Solitons & Fractals and is available at doi.org/10.1016/j.ch....
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32 years ago GISC received the first grant to investigate phase transitions in magnetic systems and cellular automata. Nowadays, the Complex Systems Investigation Group is a reference in researching non-linear dynamical systems, spreading processes, complex networks, and critical phenomena.

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On February 2023 the group attended NetSciX 2023 in Buenos Aires - Argentina. The conference enhanced the collaboration between researchers in network science from South America and around the world. Recent works on complex networks were both presented and attended by the group.

They considered the epidemic of COVID-19 in Brazil by performing data-driven simulations. The results are published in the paper “Outbreak diversity in epidemic waves propagating through distinct geographical scales” in Physical Review Research, available at doi.org/10.1103/Phys....
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Guilherme S. Costa, @wcota.me, and @silviojrufv.bsky.social used time series of reported cases of COVID-19 in Brazil (covid19br.wcota.me/en/) and human mobility data to simulate qualitative scenarios at a municipality level.
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The group has a well-founded experience in theoretical epidemic modeling, and at the beginning of 2020, this knowledge showed to be even more important for aggregating real data to the models.
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(reproduced from X, Mar 14, 2023)