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Abrupt rise of new machine ecology beyond human response time

Overview of attention for article published in Scientific Reports, September 2013
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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 (99th percentile)

Mentioned by

news
30 news outlets
blogs
7 blogs
policy
1 policy source
twitter
501 tweeters
facebook
59 Facebook pages
googleplus
70 Google+ users
reddit
6 Redditors

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
133 Mendeley
citeulike
3 CiteULike
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Title
Abrupt rise of new machine ecology beyond human response time
Published in
Scientific Reports, September 2013
DOI 10.1038/srep02627
Pubmed ID
Authors

Neil Johnson, Guannan Zhao, Eric Hunsader, Hong Qi, Nicholas Johnson, Jing Meng, Brian Tivnan

Abstract

Society's techno-social systems are becoming ever faster and more computer-orientated. However, far from simply generating faster versions of existing behaviour, we show that this speed-up can generate a new behavioural regime as humans lose the ability to intervene in real time. Analyzing millisecond-scale data for the world's largest and most powerful techno-social system, the global financial market, we uncover an abrupt transition to a new all-machine phase characterized by large numbers of subsecond extreme events. The proliferation of these subsecond events shows an intriguing correlation with the onset of the system-wide financial collapse in 2008. Our findings are consistent with an emerging ecology of competitive machines featuring 'crowds' of predatory algorithms, and highlight the need for a new scientific theory of subsecond financial phenomena.

Twitter Demographics

The data shown below were collected from the profiles of 501 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Switzerland 2 2%
Canada 2 2%
Spain 2 2%
United Kingdom 2 2%
Lithuania 1 <1%
Italy 1 <1%
Netherlands 1 <1%
New Zealand 1 <1%
Other 3 2%
Unknown 114 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 25%
Researcher 26 20%
Student > Master 17 13%
Other 13 10%
Professor 9 7%
Other 24 18%
Unknown 11 8%
Readers by discipline Count As %
Computer Science 17 13%
Physics and Astronomy 17 13%
Social Sciences 15 11%
Agricultural and Biological Sciences 13 10%
Economics, Econometrics and Finance 10 8%
Other 44 33%
Unknown 17 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 781. 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 15 June 2022.
All research outputs
#18,354
of 21,820,060 outputs
Outputs from Scientific Reports
#286
of 116,683 outputs
Outputs of similar age
#81
of 179,663 outputs
Outputs of similar age from Scientific Reports
#1
of 2 outputs
Altmetric has tracked 21,820,060 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 116,683 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one has done particularly well, scoring higher than 99% 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 179,663 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 99% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them