↓ Skip to main content

Abrupt rise of new machine ecology beyond human response time

Overview of attention for article published in Scientific Reports, September 2013
Altmetric Badge

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)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
26 news outlets
blogs
7 blogs
twitter
557 tweeters
facebook
59 Facebook pages
googleplus
70 Google+ users
reddit
6 Redditors

Readers on

mendeley
94 Mendeley
citeulike
3 CiteULike
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, Johnson N, Zhao G, Hunsader E, Qi H, Meng J, Tivnan B

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 557 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
United Kingdom 3 3%
Netherlands 2 2%
Canada 2 2%
Spain 2 2%
Switzerland 2 2%
Germany 1 1%
Lithuania 1 1%
Chile 1 1%
Other 5 5%
Unknown 70 74%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 32%
Researcher 19 20%
Other 11 12%
Student > Master 11 12%
Professor 8 9%
Other 15 16%
Readers by discipline Count As %
Physics and Astronomy 18 19%
Computer Science 13 14%
Agricultural and Biological Sciences 13 14%
Social Sciences 11 12%
Economics, Econometrics and Finance 8 9%
Other 31 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 804. 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 05 February 2018.
All research outputs
#3,954
of 9,726,139 outputs
Outputs from Scientific Reports
#69
of 46,466 outputs
Outputs of similar age
#44
of 139,709 outputs
Outputs of similar age from Scientific Reports
#2
of 592 outputs
Altmetric has tracked 9,726,139 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 46,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. 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 139,709 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 592 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.