Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kara Layne Johnson"'
Autor:
Kara Layne Johnson, Jennifer L. Walsh, Yuri A. Amirkhanian, John J. Borkowski, Nicole Bohme Carnegie
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-40 (2021)
Abstract The DeGroot model for opinion diffusion over social networks dates back to the 1970s and models the mechanism by which information or disinformation spreads through a network, changing the opinions of the agents. Extensive research exists ab
Externí odkaz:
https://doaj.org/article/587f804efa234f08bb52aafc3e652103
Publikováno v:
Algorithms, Vol 15, Iss 2, p 45 (2022)
Genetic algorithms mimic the process of natural selection in order to solve optimization problems with minimal assumptions and perform well when the objective function has local optima on the search space. These algorithms treat potential solutions t
Externí odkaz:
https://doaj.org/article/80ed043af7eb47199e9dbdce708e6347
Autor:
Breschine Cummins, Justin Vrana, Robert C Moseley, Hamed Eramian, Anastasia Deckard, Pedro Fontanarrosa, Daniel Bryce, Mark Weston, George Zheng, Joshua Nowak, Francis C Motta, Mohammed Eslami, Kara Layne Johnson, Robert P Goldman, Chris J Myers, Tessa Johnson, Matthew W Vaughn, Niall Gaffney, Joshua Urrutia, Shweta Gopaulakrishnan, Vanessa Biggers, Trissha R Higa, Lorraine A Mosqueda, Marcio Gameiro, Tomáš Gedeon, Konstantin Mischaikow, Jacob Beal, Bryan Bartley, Tom Mitchell, Tramy T Nguyen, Nicholas Roehner, Steven B Haase
Computational tools addressing various components of design–build–test–learn (DBTL) loops for the construction of synthetic genetic networks exist but do not generally cover the entire DBTL loop. This manuscript introduces an end-to-end sequenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d2c9b817f1b0a8d922071cda533d340
https://doi.org/10.1101/2022.06.10.495560
https://doi.org/10.1101/2022.06.10.495560
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 18; Issue 24; Pages: 13394
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 13394, p 13394 (2021)
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 13394, p 13394 (2021)
Leveraging social influence is an increasingly common strategy to change population behavior or acceptance of public health policies and interventions; however, assessing the effectiveness of these social network interventions and projecting their pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29d63a2f6b6add9dba68c09d4bb9f642
Publikováno v:
PerCom Workshops
We present an overview of the development of a genetic algorithm for estimating the parameters of a DeGroot opinion diffusion model over social networks, expanding the use of these models to applications with small data sets.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4d3444049baa110678c508344be7146
https://doi.org/10.1109/percomworkshops51409.2021.9430976
https://doi.org/10.1109/percomworkshops51409.2021.9430976
Autor:
Jennifer L. Walsh, Kara Layne Johnson, Nicole Bohme Carnegie, John J. Borkowski, Yuri A. Amirkhanian
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-40 (2021)
Applied network science
Applied network science
The DeGroot model for opinion diffusion over social networks dates back to the 1970s and models the mechanism by which information or disinformation spreads through a network, changing the opinions of the agents. Extensive research exists about the b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::307b0ee7db495d1b6119bf94083de54a
https://doi.org/10.1007/s41109-020-00347-2
https://doi.org/10.1007/s41109-020-00347-2