↓ Skip to main content

Collective Phenomena and Non-Finite State Computation in a Human Social System

Overview of attention for article published in PLOS ONE, October 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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
36 X users
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
36 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Collective Phenomena and Non-Finite State Computation in a Human Social System
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0075818
Pubmed ID
Authors

Simon DeDeo

Abstract

We investigate the computational structure of a paradigmatic example of distributed social interaction: that of the open-source Wikipedia community. We examine the statistical properties of its cooperative behavior, and perform model selection to determine whether this aspect of the system can be described by a finite-state process, or whether reference to an effectively unbounded resource allows for a more parsimonious description. We find strong evidence, in a majority of the most-edited pages, in favor of a collective-state model, where the probability of a "revert" action declines as the square root of the number of non-revert actions seen since the last revert. We provide evidence that the emergence of this social counter is driven by collective interaction effects, rather than properties of individual users.

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 11%
Portugal 2 6%
France 1 3%
China 1 3%
Sri Lanka 1 3%
Spain 1 3%
Luxembourg 1 3%
Unknown 25 69%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 31%
Researcher 8 22%
Student > Master 6 17%
Professor 4 11%
Student > Doctoral Student 2 6%
Other 3 8%
Unknown 2 6%
Readers by discipline Count As %
Computer Science 9 25%
Physics and Astronomy 5 14%
Agricultural and Biological Sciences 3 8%
Social Sciences 3 8%
Psychology 3 8%
Other 10 28%
Unknown 3 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 29 January 2020.
All research outputs
#1,139,729
of 25,193,883 outputs
Outputs from PLOS ONE
#14,639
of 218,525 outputs
Outputs of similar age
#10,136
of 217,007 outputs
Outputs of similar age from PLOS ONE
#416
of 5,122 outputs
Altmetric has tracked 25,193,883 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218,525 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 93% 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 217,007 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 95% of its contemporaries.
We're also able to compare this research output to 5,122 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 91% of its contemporaries.