ArticleNature communications2015
Diffusion on networked systems is a question of time or structure.
Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
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Who cites it
36 citing papers in PubMed.
- Fluid dynamics reduction methods for temporal networks.Scientific reports · 2026Article
- Temporal heterogeneity shapes diffusion dynamics in complex networks.Nature communications · 2026Article
- Knowledge of information cascades through social networks facilitates strategic gossip.Nature human behaviour · 2025Article
- Learning interpretable network dynamics via universal neural symbolic regression.Nature communications · 2025Article
- Article
- Higher-order correlations reveal complex memory in temporal hypergraphs.Nature communications · 2024Article
- Bursts of communication increase opinion diversity in the temporal Deffuant model.Scientific reports · 2024Article
- Assessing individual risk and the latent transmission of COVID-19 in a population with an interaction-driven temporal model.Scientific reports · 2023Article
- Temporal-topological properties of higher-order evolving networks.Scientific reports · 2023Article
- Exploring and Learning the Universe of Protein Allostery Using Artificial Intelligence Augmented Biophysical and Computational Approaches.Journal of chemical information and modeling · 2023Review
- Contact networks have small metric backbones that maintain community structure and are primary transmission subgraphs.PLoS computational biology · 2023Article
- Analysis of the competition among viral strains using a temporal interaction-driven contagion model.Scientific reports · 2022Article
- The shape of memory in temporal networks.Nature communications · 2022Article
- Burstiness and Stochasticity in the Malleability of Physical Activity.Journal of sport & exercise psychology · 2021Article
- Higher-order temporal network effects through triplet evolution.Scientific reports · 2021Article
- Modeling the spread of fake news on Twitter.PloS one · 2021Article
- Burst-tree decomposition of time series reveals the structure of temporal correlations.Scientific reports · 2020Article
- Physically-interpretable classification of biological network dynamics for complex collective motions.Scientific reports · 2020Article
- Integrated Computational Approaches and Tools forAllosteric Drug Discovery.International journal of molecular sciences · 2020Review
- Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning.Frontiers in molecular biosciences · 2020Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network science investigates the architecture of complex systems to understand their functional and dynamical properties. Structural patterns such as communities shape diffusive processes on networks. However, these results hold under the strong assumption that networks are static entities where temporal aspects can be neglected. Here we propose a generalized formalism for linear dynamics on complex networks, able to incorporate statistical properties of the timings at which events occur. We show that the diffusion dynamics is affected by the network community structure and by the temporal properties of waiting times between events. We identify the main mechanism--network structure, burstiness or fat tails of waiting times--determining the relaxation times of stochastic processes on temporal networks, in the absence of temporal-structure correlations. We identify situations when fine-scale structure can be discarded from the description of the dynamics or, conversely, when a fully detailed model is required due to temporal heterogeneities.
Identifiers
26054307What 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.