Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Daniel Barkoczi"'
Autor:
Daniel Barkoczi, Mirta Galesic
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-8 (2016)
Previous studies have disagreed over whether efficient or inefficient network structures should be more effective in promoting group performance. Here, Barkoczi and Galesic demonstrate that which structure is superior depends on the social learning s
Externí odkaz:
https://doaj.org/article/bcbf6ce09be94eba84c5eea900cd24cb
Autor:
Mirta Galesic, Daniel Barkoczi, Andrew M. Berdahl, Dora Biro, Giuseppe Carbone, Ilaria Giannoccaro, Robert L. Goldstone, Cleotilde Gonzalez, Anne Kandler, Albert B. Kao, Rachel Kendal, Michelle Kline, Eun Lee, Giovanni Francesco Massari, Alex Mesoudi, Henrik Olsson, Niccolo Pescetelli, Sabina J. Sloman, Paul E. Smaldino, Daniel L. Stein
Publikováno v:
Journal of The Royal Society Interface
Journal of the Royal Society, Interface, vol 20, iss 200
Journal of the Royal Society, Interface, vol 20, iss 200
Data accessibility: This article has no additional data. Copyright © 2023 The Authors. We develop a conceptual framework for studying collective adaptation in complex socio-cognitive systems, driven by dynamic interactions of social integration stra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecf631749d722cc99417c5cd2b9357f7
https://doi.org/10.31235/osf.io/5f2ad
https://doi.org/10.31235/osf.io/5f2ad
Publikováno v:
Complex networks & their applications X
Studies in Computational Intelligence
Complex Networks & Their Applications X ISBN: 9783030934125
Studies in Computational Intelligence
Complex Networks & Their Applications X ISBN: 9783030934125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6154a0326d9847df1246b8559be5a9e1
https://hdl.handle.net/21.11116/0000-000B-7B52-F21.11116/0000-000C-CD87-521.11116/0000-000C-CD88-421.11116/0000-000C-CD89-321.11116/0000-000B-028D-421.11116/0000-000B-028F-2
https://hdl.handle.net/21.11116/0000-000B-7B52-F21.11116/0000-000C-CD87-521.11116/0000-000C-CD88-421.11116/0000-000C-CD89-321.11116/0000-000B-028D-421.11116/0000-000B-028F-2
Autor:
Niccolo Pescetelli, Daniel Barkoczi
The ability of social and political bots to influence public opinion is often difficult to estimate. Recent studies found that hyper-partisan accounts often directly interact with already highly polarised users on Twitter and are unlikely to influenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39429a96ef84f37fcec57e9653b933f1
https://doi.org/10.31234/osf.io/qhmrt
https://doi.org/10.31234/osf.io/qhmrt
Publikováno v:
WWW
WWW '20: Proceedings of The Web Conference 2020. Taipei, Taiwan-April 20-24, 2020
Analytis, P P, Barkoczi, D, Lorenz-Spreen, P & Herzog, S M 2020, The Structure of Social Influence in Recommender Networks . in Proceedings of The Web Conference 2020 . Association for Computing Machinery, pp. 2655–2661, The Web Conference 2020, Taipei, Taiwan, Province of China, 20/04/2020 . https://doi.org/10.1145/3366423.3380020
WWW '20: Proceedings of The Web Conference 2020. Taipei, Taiwan-April 20-24, 2020
Analytis, P P, Barkoczi, D, Lorenz-Spreen, P & Herzog, S M 2020, The Structure of Social Influence in Recommender Networks . in Proceedings of The Web Conference 2020 . Association for Computing Machinery, pp. 2655–2661, The Web Conference 2020, Taipei, Taiwan, Province of China, 20/04/2020 . https://doi.org/10.1145/3366423.3380020
People’s ability to influence others’ opinion on matters of taste varies greatly—both offline and in recommender systems. What are the mechanisms underlying these striking differences? Using the weighted k-nearest neighbors algorithm (k-nn) to
Autor:
Giovanni Francesco Massari, Mirta Galesic, Giuseppe Carbone, Ilaria Giannoccaro, Daniel Barkoczi
Publikováno v:
Journal of Business Research
Search is a fundamental part of complex problem solving and often involves a choice between the exploration of new ideas and the exploitation of already known solutions. While literature has mainly analyzed search behavior of individuals working alon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef59b021f253f1ac931536f3cbb8b590
https://hdl.handle.net/21.11116/0000-0006-E783-121.11116/0000-0006-E382-6
https://hdl.handle.net/21.11116/0000-0006-E783-121.11116/0000-0006-E382-6
Publikováno v:
BioRxiv
Nature Human Behaviour
Nature Human Behaviour
Most choices people make are about “matters of taste” on which there is no universal, objective truth. Nevertheless, people can learn from the experiences of individuals with similar tastes who have already evaluated the available options—a pot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::302061e8b9b52f6cd8a66ba46badd89e
https://hdl.handle.net/21.11116/0000-0000-37EB-A21.11116/0000-0000-37ED-8
https://hdl.handle.net/21.11116/0000-0000-37EB-A21.11116/0000-0000-37ED-8
Autor:
Mirta Galesic, Daniel Barkoczi
Publikováno v:
Nature Communications
Nature Communications, Vol 7, Iss 1, Pp 1-8 (2016)
Nature Communications, Vol 7, Iss 1, Pp 1-8 (2016)
The structure of communication networks is an important determinant of the capacity of teams, organizations and societies to solve policy, business and science problems. Yet, previous studies reached contradictory results about the relationship betwe
Publikováno v:
Nature Human Behaviour. 2:708-708
The version of the Supplementary Information file that was originally published with this Article was not the latest version provided by the authors. In the captions of Supplementary Figs. 2 and 8, the median standard error values were reported to be