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A dataset on human navigation strategies in foreign networked systems

Overview of attention for article published in Scientific Data, March 2018
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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 (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

news
1 news outlet
twitter
7 X users

Citations

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3 Dimensions

Readers on

mendeley
12 Mendeley
Title
A dataset on human navigation strategies in foreign networked systems
Published in
Scientific Data, March 2018
DOI 10.1038/sdata.2018.37
Pubmed ID
Authors

Attila Kőrösi, Attila Csoma, Gábor Rétvári, Zalán Heszberger, József Bíró, János Tapolcai, István Pelle, Dávid Klajbár, Márton Novák, Valentina Halasi, András Gulyás

Abstract

Humans are involved in various real-life networked systems. The most obvious examples are social and collaboration networks but the language and the related mental lexicon they use, or the physical map of their territory can also be interpreted as networks. How do they find paths between endpoints in these networks? How do they obtain information about a foreign networked world they find themselves in, how they build mental model for it and how well they succeed in using it? Large, open datasets allowing the exploration of such questions are hard to find. Here we report a dataset collected by a smartphone application, in which players navigate between fixed length source and destination English words step-by-step by changing only one letter at a time. The paths reflect how the players master their navigation skills in such a foreign networked world. The dataset can be used in the study of human mental models for the world around us, or in a broader scope to investigate the navigation strategies in complex networked systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 17%
Student > Master 2 17%
Student > Bachelor 2 17%
Student > Doctoral Student 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Psychology 3 25%
Medicine and Dentistry 2 17%
Sports and Recreations 1 8%
Computer Science 1 8%
Unknown 5 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 17 March 2018.
All research outputs
#2,411,761
of 23,094,276 outputs
Outputs from Scientific Data
#877
of 2,515 outputs
Outputs of similar age
#54,126
of 333,723 outputs
Outputs of similar age from Scientific Data
#27
of 65 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,515 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one has gotten more attention than average, scoring higher than 65% 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 333,723 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.