ArticleJournal of the Royal Society, Interface2012
Dynamics and processing in finite self-similar networks.
Article in Journal of the Royal Society, Interface, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Quantifying the impact of network structure on speed and accuracy in collective decision-making.Theory in biosciences = Theorie in den Biowissenschaften · 2021Article
- Beware of the Small-World Neuroscientist!Frontiers in human neuroscience · 2016Article
- The ACE Brain.Frontiers in computational neuroscience · 2016Article
- How can we study reasoning in the brain?Frontiers in human neuroscience · 2015Article
- Functional brain networks: great expectations, hard times and the big leap forward.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Article
- Multi-scale integration and predictability in resting state brain activity.Frontiers in neuroinformatics · 2014Article
- Measuring brain temperature without a thermometer.Frontiers in physiology · 2014Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A common feature of biological networks is the geometrical property of self-similarity. Molecular regulatory networks through to circulatory systems, nervous systems, social systems and ecological trophic networks show self-similar connectivity at multiple scales. We analyse the relationship between topology and signalling in contrasting classes of such topologies. We find that networks differ in their ability to contain or propagate signals between arbitrary nodes in a network depending on whether they possess branching or loop-like features. Networks also differ in how they respond to noise, such that one allows for greater integration at high noise, and this performance is reversed at low noise. Surprisingly, small-world topologies, with diameters logarithmic in system size, have slower dynamical time scales, and may be less integrated (more modular) than networks with longer path lengths. All of these phenomena are essentially mesoscopic, vanishing in the infinite limit but producing strong effects at sizes and time scales relevant to biology.
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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.