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A Model of Human Cooperation in Social Dilemmas

Overview of attention for article published in PLOS ONE, August 2013
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
2 blogs
twitter
11 X users
facebook
1 Facebook page
wikipedia
7 Wikipedia pages
googleplus
2 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
123 Dimensions

Readers on

mendeley
161 Mendeley
citeulike
1 CiteULike
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Title
A Model of Human Cooperation in Social Dilemmas
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0072427
Pubmed ID
Authors

Valerio Capraro

Abstract

Social dilemmas are situations in which collective interests are at odds with private interests: pollution, depletion of natural resources, and intergroup conflicts, are at their core social dilemmas. Because of their multidisciplinarity and their importance, social dilemmas have been studied by economists, biologists, psychologists, sociologists, and political scientists. These studies typically explain tendency to cooperation by dividing people in proself and prosocial types, or appealing to forms of external control or, in iterated social dilemmas, to long-term strategies. But recent experiments have shown that cooperation is possible even in one-shot social dilemmas without forms of external control and the rate of cooperation typically depends on the payoffs. This makes impossible a predictive division between proself and prosocial people and proves that people have attitude to cooperation by nature. The key innovation of this article is in fact to postulate that humans have attitude to cooperation by nature and consequently they do not act a priori as single agents, as assumed by standard economic models, but they forecast how a social dilemma would evolve if they formed coalitions and then they act according to their most optimistic forecast. Formalizing this idea we propose the first predictive model of human cooperation able to organize a number of different experimental findings that are not explained by the standard model. We show also that the model makes satisfactorily accurate quantitative predictions of population average behavior in one-shot social dilemmas.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Japan 2 1%
France 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
Unknown 153 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 30%
Student > Master 29 18%
Student > Bachelor 22 14%
Researcher 18 11%
Student > Doctoral Student 9 6%
Other 18 11%
Unknown 17 11%
Readers by discipline Count As %
Psychology 35 22%
Economics, Econometrics and Finance 20 12%
Social Sciences 18 11%
Computer Science 13 8%
Agricultural and Biological Sciences 9 6%
Other 43 27%
Unknown 23 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 02 April 2020.
All research outputs
#1,592,666
of 25,119,447 outputs
Outputs from PLOS ONE
#19,770
of 217,934 outputs
Outputs of similar age
#13,617
of 206,818 outputs
Outputs of similar age from PLOS ONE
#501
of 4,910 outputs
Altmetric has tracked 25,119,447 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 217,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 90% 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 206,818 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 93% of its contemporaries.
We're also able to compare this research output to 4,910 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.