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The entropic basis of collective behaviour

Overview of attention for article published in Journal of The Royal Society Interface, May 2015
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
28 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
99 Mendeley
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Title
The entropic basis of collective behaviour
Published in
Journal of The Royal Society Interface, May 2015
DOI 10.1098/rsif.2015.0037
Pubmed ID
Authors

Richard P. Mann, Roman Garnett

Abstract

We identify a unique viewpoint on the collective behaviour of intelligent agents. We first develop a highly general abstract model for the possible future lives these agents may encounter as a result of their decisions. In the context of these possibilities, we show that the causal entropic principle, whereby agents follow behavioural rules that maximize their entropy over all paths through the future, predicts many of the observed features of social interactions among both human and animal groups. Our results indicate that agents are often able to maximize their future path entropy by remaining cohesive as a group and that this cohesion leads to collectively intelligent outcomes that depend strongly on the distribution of the number of possible future paths. We derive social interaction rules that are consistent with maximum entropy group behaviour for both discrete and continuous decision spaces. Our analysis further predicts that social interactions are likely to be fundamentally based on Weber's law of response to proportional stimuli, supporting many studies that find a neurological basis for this stimulus-response mechanism and providing a novel basis for the common assumption of linearly additive 'social forces' in simulation studies of collective behaviour.

Twitter Demographics

The data shown below were collected from the profiles of 28 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 2 2%
Brazil 1 1%
Canada 1 1%
Switzerland 1 1%
Unknown 91 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Researcher 17 17%
Student > Master 13 13%
Professor > Associate Professor 6 6%
Professor 6 6%
Other 23 23%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 30%
Computer Science 11 11%
Physics and Astronomy 8 8%
Mathematics 7 7%
Engineering 7 7%
Other 22 22%
Unknown 14 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 May 2017.
All research outputs
#1,468,069
of 19,208,681 outputs
Outputs from Journal of The Royal Society Interface
#687
of 2,778 outputs
Outputs of similar age
#18,661
of 220,397 outputs
Outputs of similar age from Journal of The Royal Society Interface
#25
of 77 outputs
Altmetric has tracked 19,208,681 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,778 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one has done well, scoring higher than 75% 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 220,397 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.