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Optimal incentives for collective intelligence

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
118 tweeters
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
200 Mendeley
citeulike
2 CiteULike
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Title
Optimal incentives for collective intelligence
Published in
Proceedings of the National Academy of Sciences of the United States of America, May 2017
DOI 10.1073/pnas.1618722114
Pubmed ID
Authors

Richard P. Mann, Dirk Helbing

Abstract

Collective intelligence is the ability of a group to perform more effectively than any individual alone. Diversity among group members is a key condition for the emergence of collective intelligence, but maintaining diversity is challenging in the face of social pressure to imitate one's peers. Through an evolutionary game-theoretic model of collective prediction, we investigate the role that incentives may play in maintaining useful diversity. We show that market-based incentive systems produce herding effects, reduce information available to the group, and restrain collective intelligence. Therefore, we propose an incentive scheme that rewards accurate minority predictions and show that this produces optimal diversity and collective predictive accuracy. We conclude that real world systems should reward those who have shown accuracy when the majority opinion has been in error.

Twitter Demographics

The data shown below were collected from the profiles of 118 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 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Belgium 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Luxembourg 1 <1%
Unknown 194 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 26%
Researcher 32 16%
Student > Master 24 12%
Professor 15 8%
Student > Doctoral Student 12 6%
Other 45 23%
Unknown 20 10%
Readers by discipline Count As %
Computer Science 25 13%
Social Sciences 21 11%
Psychology 21 11%
Physics and Astronomy 16 8%
Engineering 13 7%
Other 67 34%
Unknown 37 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 130. 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 27 March 2021.
All research outputs
#183,299
of 17,635,820 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#3,947
of 89,564 outputs
Outputs of similar age
#5,694
of 296,882 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#102
of 1,008 outputs
Altmetric has tracked 17,635,820 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 89,564 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.2. This one has done particularly well, scoring higher than 95% 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 296,882 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 98% of its contemporaries.
We're also able to compare this research output to 1,008 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.