Title |
A dataset on human navigation strategies in foreign networked systems
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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
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 29% |
United States | 1 | 14% |
Hungary | 1 | 14% |
Sweden | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 71% |
Scientists | 2 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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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% |