iiinova — where your digital self keeps evolving

Eduardo G. Altmann @eduardoaltmann.bsky.social · 12/10/2026

"Mesoscale structures in signed networks", paper with @weizhang1995.bsky.social Olga Boichak, Tristram Alexander and @tiago.skewed.de published this week in Science Advances doi.org/10.1126/scia... The figure illustrates our general finding: diverse meso-scale structures in social-media debates

032

Eduardo G. Altmann @eduardoaltmann.bsky.social · 02/09/2026

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

010

Eduardo G. Altmann @eduardoaltmann.bsky.social · 26/06/2026

"Code evolution for link prediction in complex networks", pre-print w/ Alexey Vlaskin 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/ant...

110

Eduardo G. Altmann @eduardoaltmann.bsky.social · 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

040

Eduardo G. Altmann @eduardoaltmann.bsky.social · 14/01/2026

"Meso-scale structures in signed networks", new preprint with Wei Zhang (weizhang1995.bsky.social) , Olga Boichak (@ol, Tristram J Alexander, and Tiago P. Peixoto (@tiago.skewed.de) arxiv.org/abs/2512.11281

0123

Eduardo G. Altmann @eduardoaltmann.bsky.social · 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: arxiv.org/abs/2509.01871 Code: github.com/oscarcapote/...

030

Eduardo G. Altmann @eduardoaltmann.bsky.social · 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) networks. doi.org/10.1093/comn...

021

Eduardo G. Altmann @eduardoaltmann.bsky.social · 02/02/2025

"Synthetic graphs for link prediction benchmarking", new paper with Alexey Vlaskin published in the Journal of Physics: Complexity @ioppublishing.bsky.social doi.org/10.1088/2632...

000

Eduardo G. Altmann @eduardoaltmann.bsky.social · 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.

020

Eduardo G. Altmann @eduardoaltmann.bsky.social · 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.

120

Eduardo G. Altmann @eduardoaltmann.bsky.social · 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.

120

Eduardo G. Altmann @eduardoaltmann.bsky.social · 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.

110

Eduardo G. Altmann @eduardoaltmann.bsky.social · 09/12/2024

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

000