Evidence map›Paper›PMID 41440429›Full record

ArticleEntropy (Basel, Switzerland)2025

The Random Domino Automaton on the Bethe Lattice and Power-Law Cluster-Size Distributions.

Mariusz Białecki, Arpan Bagchi, Yohei Tutiya

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mariusz BiałeckiInstitute of Geophysics Polish Academy of Sciences, Ks. Janusza 64, 01-452 Warszawa, Poland.ORCID 0000-0003-4970-2268
Arpan BagchiInstitute of Geophysics Polish Academy of Sciences, Ks. Janusza 64, 01-452 Warszawa, Poland.
Yohei TutiyaCenter for Basic Education and Integrated Learning, Kanagawa Institute of Technology, Shimo-Ogino 1030, Atsugi 243-0292, Kanagawa, Japan.ORCID 0000-0001-6124-1746

Funding

JSPS Grant-in-Aid for Scientific Research (KAKENHI) 19K03550National Science Center (Poland) 2017/27/B/ST10/02686
6 · The paper itself

Abstract

The Random Domino Automaton-a stochastic cellular automaton forest-fire model-is formulated for the Bethe lattice geometry. The equations describing the stationary state of the system are derived using combinatorial analysis. The special choice of parameters that define the dynamics of the system leads to a solvable reduction in the set of equations. Analysis of the equations shows that by changing the parameter responsible for cluster removal, the size distribution of clusters smoothly transitions from (near) exponential to inverse power, beyond which the system is unstable. The analysis shows the crucial role of combining more than two clusters in elongating the tail of the size distribution generated by the system and, thus, in increasing the range of validity of the inverse power law. We also point out an interesting connection of the proposed model with Catalan-like integer sequences.

Indexed as

Bethe-latticeCatalan-like recurrencescellular automataforest-fire modelsinverse-power distributionself-organized criticalitysolvable modelstationary Markov processstochastic dynamics

Identifiers

PMID41440429
PMCPMC12732295

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.