TY  - JOUR
AU  - Kőrösi, Attila
AU  - Csoma, Attila
AU  - Rétvári, Gábor
AU  - Heszberger, Zalán
AU  - Bíró, József
AU  - Tapolcai, János
AU  - Pelle, István
AU  - Klajbár, Dávid
AU  - Novák, Márton
AU  - Halasi, Valentina
AU  - Gulyás, András
TI  - A dataset on human navigation strategies in foreign networked systems
JF  - SCIENTIFIC DATA
J2  - SCI DATA
VL  - 5
PY  - 2018
PG  - 6
SN  - 2052-4463
DO  - 10.1038/sdata.2018.37
UR  - https://m2.mtmt.hu/api/publication/3350776
ID  - 3350776
N1  - WoS:hiba:000427256400003 2020-08-29 10:16 típus nem egyezik
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Csoma, Attila
AU  - Kőrösi, Attila
AU  - Rétvári, Gábor
AU  - Heszberger, Zalán
AU  - Bíró, József
AU  - Slíz, Marianna Ilona
AU  - Avena-Koenigsberger, A
AU  - Griffa, A
AU  - Hagmann, P
AU  - Gulyás, András
TI  - Routes Obey Hierarchy in Complex Networks
JF  - SCIENTIFIC REPORTS
J2  - SCI REP
VL  - 7
PY  - 2017
PG  - 7
SN  - 2045-2322
DO  - 10.1038/s41598-017-07412-4
UR  - https://m2.mtmt.hu/api/publication/3255986
ID  - 3255986
AB  - The last two decades of network science have discovered stunning similarities in the topological characteristics of real life networks (many biological, social, transportation and organizational networks) on a strong empirical basis. However our knowledge about the operational paths used in these networks is very limited, which prohibits the proper understanding of the principles of their functioning. Today, the most widely adopted hypothesis about the structure of the operational paths is the shortest path assumption. Here we present a striking result that the paths in various networks are significantly stretched compared to their shortest counterparts. Stretch distributions are also found to be extremely similar. This phenomenon is empirically confirmed on four networks from diverse areas of life. We also identify the high-level path selection rules nature seems to use when picking its paths.
LA  - English
DB  - MTMT
ER  -