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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 12/10/2026

"Mesoscale structures in signed networks", paper with @weizhang1995 Olga Boichak, Tristram Alexander and @tiago published this week in Science Advances doi.org/10.1126/sciadv.aee5886 The figure illustrates our general finding of diverse meso-scale […] [Original post on aus.social]

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 02/09/2026

I'm on strike today to defend the teaching- research connection, reasonable use of AI, and better pay. Sydney uni staff can join the union and the strike via nsw.nteu.au/sydney/onstrike

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 14/08/2026

RE: aus.social/@EduardoAltmann/11596341… Our paper on fractals in r-tipping has been published today as Chaos 36, 083122 (2026) doi.org/10.1063/5.0324191 Many improvements over the pre-print, thanks to the very helpful comments by the editor and reviewers from Chaos.

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 26/06/2026

"Code evolution for link prediction in complex networks", pre-print w/ @AVlaskin We use an AlphaEvolve-like approach to test whether LLMs can discover better link-prediction methods. They can, even without showing great creativity. Repo: github.com/avlaskin/antevolve

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 26/01/2026

"Fractals in rate-induced tipping", new pre-print with Jason Qianchuan Wang and Yi Zheng. We show how fractal saddles in the phase space of non-linear dynamical systems lead to fractals in the parameter space controlling rate-induced tipping points. arxiv.org/abs/2601.16373

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 14/01/2026

"Meso-scale structures in signed networks", new preprint with Wei Zhang, Olga Boichak, Tristram J Alexander, and Tiago P. Peixoto (@tiago) arxiv.org/abs/2512.11281

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 04/09/2025

"Inference of epidemic networks: the effect of different data types" , new pre-print with Oscar Fajardo and Carl Suster. We introduce a model+MCMC to sample transmission trees based on different types of data on sampled hosts. Paper […] [Original post on aus.social]

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 10/02/2025

"A generative model for community types in directed networks", paper with Cathy X. Liu and Tristram J. Alexander, now published in the Journal of Complex Networks. It shows how different relationships between two groups of nodes (users) can appear in (social) […] [Original post on aus.social]

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 02/02/2025

"Synthetic graphs for link prediction benchmarking", new paper with Alexey Vlaskin, published in the Journal of Physics: Complexity doi.org/10.1088/2632-072X/ada07f

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 18/12/2024

Chapter 4 concludes the book with a general evaluation of the potential and limitations of statistical laws: a critical discussion of the uses and misuses in complex-systems research, connections to machine-learning approaches to data science, and speculations about the future of the field.

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 18/12/2024

Chapter 3 critically discusses the different statistical methods used to evaluate the validity and estimate the parameters of statistical laws: from graphical models and linear regression to likelihood-based models and statistical inference.

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 18/12/2024

Chapter 2 describes several cases of statistical laws, with focus on the identical role they play in different research areas: as connectors between data analysis and mechanistic models.

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 18/12/2024

Chapter 1 starts from an historical account of paradigmatic laws, which motivate a general definition that: (i) includes examples from different disciplines and functional forms; (ii) distinguishes them from parametric fitting of curves or other statistical curiosities.

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 18/12/2024

"Statistical Laws in Complex Systems: Combining Mechanistic Models and Data Analysis", my 150p monograph written at the The University of Sydney and the MPI-PKS Dresden is now published by @SpringerNature: Electronic/print […] [Original post on aus.social]

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 09/12/2024

"Synthetic graphs for link prediction benchmarking" , New pre-print with Alexey Vlaskin arxiv.org/abs/2412.03757

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