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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 (85th percentile)

Mentioned by

1 news outlet
10 tweeters


3 Dimensions

Readers on

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

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


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.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Student > Bachelor 1 11%
Student > Doctoral Student 1 11%
Student > Ph. D. Student 1 11%
Lecturer 1 11%
Other 1 11%
Unknown 2 22%
Readers by discipline Count As %
Psychology 3 33%
Philosophy 1 11%
Sports and Recreations 1 11%
Medicine and Dentistry 1 11%
Unknown 3 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 01 June 2018.
All research outputs
of 18,244,804 outputs
Outputs from Scientific Data
of 1,655 outputs
Outputs of similar age
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Outputs of similar age from Scientific Data
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Altmetric has tracked 18,244,804 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,655 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has gotten more attention than average, scoring higher than 67% 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 288,731 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 85% of its contemporaries.
We're also able to compare this research output to 1 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