Zobrazeno 1 - 10
of 13
pro vyhledávání: '"James Bagrow"'
Autor:
James Bagrow, Yong-Yeol Ahn
Publikováno v:
Applied Network Science, Vol 7, Iss 1, Pp 1-17 (2022)
Abstract The deluge of network datasets demands a standard way to effectively and succinctly summarize network datasets. Building on similar efforts to standardize the documentation of models and datasets in machine learning, here we propose network
Externí odkaz:
https://doaj.org/article/0bfa39da40e247d69de29e36ea526f6f
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-19 (2022)
Abstract GitHub has become the central online platform for much of open source, hosting most open source code repositories. With this popularity, the public digital traces of GitHub are now a valuable means to study teamwork and collaboration. In man
Externí odkaz:
https://doaj.org/article/da408d5307ac451ab227d350b0e28919
Autor:
Abigail Hotaling, James Bagrow
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Allocation strategies improve the efficiency of crowdsourcing by decreasing the work needed to complete individual tasks accurately. However, these algorithms introduce bias by preferentially allocating workers onto easy tasks, leading to se
Externí odkaz:
https://doaj.org/article/819919b8716e41188065c6830038b88c
Autor:
Zexun Chen, Sean Kelty, Alexandre G. Evsukoff, Brooke Foucault Welles, James Bagrow, Ronaldo Menezes, Gourab Ghoshal
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Information about an individual’s mobility can leave traces embedded in the social network. The authors show that such traces are also present beyond the social network. Simple colocation contains predictive information about one’s mobility patte
Externí odkaz:
https://doaj.org/article/22bbed6d8f524dc596d5d25141b7e6a7
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 3, p 035002 (2023)
Knowledge silos emerge when structural properties of organizational interaction networks limit the diffusion of information. These structural barriers are known to take many forms at different scales—hubs in otherwise sparse organizations, large de
Externí odkaz:
https://doaj.org/article/bcd22e23e23240b7a303ea7f37b120b1
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/369bd67ad42649d789c7763a68d50a7f
Publikováno v:
Nature Human Behavior
Travel is expected to have a deleterious effect on sleep, but an epidemiological-scale understanding of sleep changes associated with travel has been limited by a lack of large-scale data. Our global dataset of ~20,000 individuals and 3.17 million ni
Autor:
Xipei Liu, James Bagrow
Publikováno v:
Human Computation. 6:42-55
Creative tasks such as ideation or question proposal are powerful applications of crowdsourcing, yet the quantity of workers available for addressing practical problems is often insufficient. To enable scalable crowdsourcing thus requires gaining all
Autor:
Abigail Hotaling, James Bagrow
Publikováno v:
Scientific reports. 12(1)
Allocation strategies improve the efficiency of crowdsourcing by decreasing the work needed to complete individual tasks accurately. However, these algorithms introduce bias by preferentially allocating workers onto easy tasks, leading to sets of com
GitHub has become the central online platform for much of open source, hosting most open source code repositories. With this popularity, the public digital traces of GitHub are now a valuable means to study teamwork and collaboration. In many ways, h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c338be296d26298e1eecbd43e95d177