Zobrazeno 1 - 10
of 63
pro vyhledávání: '"James P. Bagrow"'
Autor:
James P. Bagrow, Erik M. Bollt
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-15 (2019)
Abstract As network research becomes more sophisticated, it is more common than ever for researchers to find themselves not studying a single network but needing to analyze sets of networks. An important task when working with sets of networks is net
Externí odkaz:
https://doaj.org/article/3dcbcd6cf4624cccac8bd623a85c9e9f
Autor:
James P. Bagrow
Publikováno v:
PeerJ Computer Science, Vol 6, p e296 (2020)
Non-experts have long made important contributions to machine learning (ML) by contributing training data, and recent work has shown that non-experts can also help with feature engineering by suggesting novel predictive features. However, non-experts
Externí odkaz:
https://doaj.org/article/897cea9123344bcfbc717be444f7d38b
Publikováno v:
Entropy, Vol 22, Iss 3, p 265 (2020)
Contagion models are a primary lens through which we understand the spread of information over social networks. However, simple contagion models cannot reproduce the complex features observed in real-world data, leading to research on more complicate
Externí odkaz:
https://doaj.org/article/e24c1a09a5da47318ad1f81f9a20680e
Autor:
Michael Klug, James P. Bagrow
Publikováno v:
Royal Society Open Science, Vol 3, Iss 4 (2016)
Complex problems often require coordinated group effort and can consume significant resources, yet our understanding of how teams form and succeed has been limited by a lack of large-scale, quantitative data. We analyse activity traces and success le
Externí odkaz:
https://doaj.org/article/b034da4a470548bcb4de113a25415f8e
Autor:
James P. Bagrow, Dirk Brockmann
Publikováno v:
Physical Review X, Vol 3, Iss 2, p 021016 (2013)
Network models with preferential attachment, where new nodes are injected into the network and form links with existing nodes proportional to their current connectivity, have been well studied for some time. Extensions have been introduced where node
Externí odkaz:
https://doaj.org/article/91b1affc3d504eb9968b71edeec50163
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:7679-7691
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9432ddfe061d00cc10e3e9c1d4689839
https://doi.org/10.1109/tsmc.2022.3163019
https://doi.org/10.1109/tsmc.2022.3163019
Autor:
Erik M. Bollt, James P. Bagrow
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-15 (2019)
As network research becomes more sophisticated, it is more common than ever for researchers to find themselves not studying a single network but needing to analyze sets of networks. An important task when working with sets of networks is network comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a274d4afafb71291f327a01913811c8
http://link.springer.com/article/10.1007/s41109-019-0156-x
http://link.springer.com/article/10.1007/s41109-019-0156-x
Autor:
Jean-Gabriel Young, Milo Z. Trujillo, Katie McLaughlin, Laurent Hébert-Dufresne, James P. Bagrow, Amanda Casari
Publikováno v:
MSR
Open source software projects usually acknowledge contributions with text files, websites, and other idiosyncratic methods. These data sources are hard to mine, which is why contributorship is most frequently measured through changes to repositories,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72530d9c4429c5b4afc139e71d9d7b05
https://doi.org/10.1109/msr52588.2021.00036
https://doi.org/10.1109/msr52588.2021.00036
Autor:
James P. Bagrow, Thayer Alshaabi, Peter Sheridan Dodds, David Rushing Dewhurst, Christopher M. Danforth
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0247795 (2021)
PLoS ONE
PLoS ONE
Human mortality is in part a function of multiple socioeconomic factors that differ both spatially and temporally. Adjusting for other covariates, the human lifespan is positively associated with household wealth. However, the extent to which mortali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce4a050dd5c25c53330461c76227794d
http://arxiv.org/abs/2006.08527
http://arxiv.org/abs/2006.08527
Publikováno v:
Entropy
Volume 22
Issue 3
Entropy, Vol 22, Iss 3, p 265 (2020)
Volume 22
Issue 3
Entropy, Vol 22, Iss 3, p 265 (2020)
Contagion models are a primary lens through which we understand the spread of information over social networks. However, simple contagion models cannot reproduce the complex features observed in real-world data, leading to research on more complicate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2de4d44f03c3eb34ece42a63ee52f153
https://pubmed.ncbi.nlm.nih.gov/33286039
https://pubmed.ncbi.nlm.nih.gov/33286039