| Title |
Multifractal signatures of complexity matching
|
|---|---|
| Published in |
Experimental Brain Research, May 2016
|
| DOI | 10.1007/s00221-016-4679-4 |
| Pubmed ID | |
| Authors |
Didier Delignières, Zainy M. H. Almurad, Clément Roume, Vivien Marmelat |
| Abstract |
The complexity matching effect supposes that synchronization between complex systems could emerge from multiple interactions across multiple scales and has been hypothesized to underlie a number of daily-life situations. Complexity matching suggests that coupled systems tend to share similar scaling properties, and this phenomenon is revealed by a statistical matching between the scaling exponents that characterize the respective behaviors of both systems. However, some recent papers suggested that this statistical matching could originate from local adjustments or corrections, rather than from a genuine complexity matching between systems. In the present paper, we propose an analysis method based on correlation between multifractal spectra, considering different ranges of time scales. We analyze several datasets collected in various situations (bimanual coordination, interpersonal coordination, and walking in synchrony with a fractal metronome). Our results show that this method is able to distinguish between situations underlain by genuine statistical matching and situations where statistical matching results from local adjustments. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 33% |
| Researcher | 5 | 11% |
| Professor | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 30% |
| Neuroscience | 6 | 13% |
| Engineering | 4 | 9% |
| Physics and Astronomy | 3 | 7% |
| Sports and Recreations | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 9 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 July 2021.
All research outputs
#13,120,208
of 22,875,477 outputs
Outputs from Experimental Brain Research
#1,541
of 3,232 outputs
Outputs of similar age
#168,029
of 335,850 outputs
Outputs of similar age from Experimental Brain Research
#8
of 49 outputs
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