↓ Skip to main content

Quantifying long-range correlations and 1/f patterns in a minimal experiment of social interaction

Overview of attention for article published in Frontiers in Psychology, November 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
7 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
17 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Quantifying long-range correlations and 1/f patterns in a minimal experiment of social interaction
Published in
Frontiers in Psychology, November 2014
DOI 10.3389/fpsyg.2014.01281
Pubmed ID
Authors

Manuel G. Bedia, Miguel Aguilera, Tomás Gómez, David G. Larrode, Francisco Seron

Abstract

In recent years, researchers in social cognition have found the "perceptual crossing paradigm" to be both a theoretical and practical advance toward meeting particular challenges. This paradigm has been used to analyze the type of interactive processes that emerge in minimal interactions and it has allowed progress toward understanding of the principles of social cognition processes. In this paper, we analyze whether some critical aspects of these interactions could not have been observed by previous studies. We consider alternative indicators that could complete, or even lead us to rethink, the current interpretation of the results obtained from both experimental and simulated modeling in the fields of social interactions and minimal perceptual crossing. In particular, we discuss the possibility that previous experiments have been analytically constrained to a short-term dynamic type of player response. Additionally, we propose the possibility of considering these experiments from a more suitable framework based on the use and analysis of long-range correlations and fractal dynamics. We will also reveal evidence supporting the idea that social interactions are deployed along many scales of activity. Specifically, we propose that the fractal structure of the interactions could be a more adequate framework to understand the type of social interaction patterns generated in a social engagement.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Researcher 3 18%
Professor > Associate Professor 2 12%
Student > Master 2 12%
Student > Bachelor 1 6%
Other 0 0%
Unknown 3 18%
Readers by discipline Count As %
Psychology 3 18%
Agricultural and Biological Sciences 2 12%
Earth and Planetary Sciences 2 12%
Neuroscience 2 12%
Computer Science 1 6%
Other 3 18%
Unknown 4 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 03 March 2015.
All research outputs
#2,571,296
of 24,357,902 outputs
Outputs from Frontiers in Psychology
#5,058
of 32,795 outputs
Outputs of similar age
#29,650
of 263,574 outputs
Outputs of similar age from Frontiers in Psychology
#88
of 372 outputs
Altmetric has tracked 24,357,902 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,574 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 372 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.