ArticleNature communications2017
Temporal profiles of avalanches on networks.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
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Who cites it
13 citing papers in PubMed, 50 citations in OpenAlex.
- Symmetry breaking and avalanche shapes in modular neural networks.Frontiers in computational neuroscience · 2026Article
- Hybrid universality classes of systemic cascades.Nature communications · 2025Article
- Scaling laws of failure dynamics on complex networks.Scientific reports · 2023Article
- Parabolic avalanche scaling in the synchronization of cortical cell assemblies.Nature communications · 2023Article
- Diffusion capacity of single and interconnected networks.Nature communications · 2023Article
- Role-Aware Information Spread in Online Social Networks.Entropy (Basel, Switzerland) · 2021Review
- AVALANCHES IN A SHORT-MEMORY EXCITABLE NETWORK.Advances in applied probability · 2021Article
- Local/Global contagion of viral/non-viral information: Analysis of contagion spread in online social networks.PloS one · 2020Article
- The scale-invariant, temporal profile of neuronal avalanches in relation to cortical γ-oscillations.Scientific reports · 2019Article
- Emergence of power laws in noncritical neuronal systems.Physical review. E · 2019Article
- Article
- Diffusion in networks and the virtue of burstiness.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Sleep, Wake, and Critical Brain States: Corollaries From Brain Dynamics.Frontiers in neuroscience · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An avalanche or cascade occurs when one event causes one or more subsequent events, which in turn may cause further events in a chain reaction. Avalanching dynamics are studied in many disciplines, with a recent focus on average avalanche shapes, i.e., the temporal profiles of avalanches of fixed duration. At the critical point of the dynamics, the rescaled average avalanche shapes for different durations collapse onto a single universal curve. We apply Markov branching process theory to derive an equation governing the average avalanche shape for cascade dynamics on networks. Analysis of the equation at criticality demonstrates that nonsymmetric average avalanche shapes (as observed in some experiments) occur for certain combinations of dynamics and network topology. We give examples using numerical simulations of models for information spreading, neural dynamics, and behavior adoption and we propose simple experimental tests to quantify whether cascading systems are in the critical state.
Identifiers
What OpenQuestion holds
Registered trials
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.