Zobrazeno 1 - 10
of 233
pro vyhledávání: '"HIROKI SAYAMA"'
Publikováno v:
People and Nature, Vol 6, Iss 2, Pp 391-401 (2024)
Abstract Many of the global challenges that confront humanity are interlinked in a dynamic complex network, with multiple feedback loops, nonlinear interactions and interdependencies that make it difficult, if not impossible, to consider individual t
Externí odkaz:
https://doaj.org/article/b90eae44c68240ffa91123462c75baba
Autor:
Sriniwas Pandey, Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Shelley D. Dionne, Francis J. Yammarino, Hiroki Sayama
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Studying extreme ideas in routine choices and discussions is of utmost importance to understand the increasing polarization in society. In this study, we focus on understanding the generation and influence of extreme ideas in routine convers
Externí odkaz:
https://doaj.org/article/a6b3e433556640e1803175f32d6b8de5
Publikováno v:
Advances in Public Health, Vol 2024 (2024)
We developed a web-based integrated healthcare delivery system with a user-friendly interface to help forecast COVID-19 hospitalizations in a marginalized patient population. The user-friendly interface is a COVID-19 Hospitalizations Control Dashboar
Externí odkaz:
https://doaj.org/article/425d8644b78a4cbd9fbb2f7c47016390
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Public memories of significant events shared within societies and groups have been conceptualized and studied as collective memory since the 1920s. Thanks to the recent advancement in digitization of public-domain knowledge and online user b
Externí odkaz:
https://doaj.org/article/044acd014bb340e9a123c03b73e88edb
Autor:
Sriniwas Pandey, Hiroki Sayama
Publikováno v:
Northeast Journal of Complex Systems, Vol 5, Iss 1 (2023)
Access to abundant biased information in echo chambers and social bubbles often intensifies opinions to the extremes. The extremization of opinions results in several topics becoming controversial. However, it is very difficult to measure the degree
Externí odkaz:
https://doaj.org/article/988a0b9c62aa4c5e8c5f266518088447
Autor:
Austin M. Marcus, Hiroki Sayama
Publikováno v:
Complexity, Vol 2023 (2023)
Collective motion models most often use self-propelled particles, which are known to produce organized spatial patterns via their collective interactions. However, there is less work considering the possible organized spatial patterns achievable by n
Externí odkaz:
https://doaj.org/article/ceb138709eeb49a89cc391b6fca1c796
Autor:
Hiroki Sayama
Publikováno v:
Northeast Journal of Complex Systems, Vol 4, Iss 1 (2022)
We formulated and analyzed a set of partial integro-differential equations that capture the dynamics of our adaptive network model of social fragmentation involving behavioral diversity of agents. Previous results showed that, if the agents’ cultur
Externí odkaz:
https://doaj.org/article/2acab9cbcc304d468d477bcfb24ffd1b
Autor:
Shun Cao, Neil G. MacLaren, Yiding Cao, Jason Marshall, Yingjun Dong, Francis J. Yammarino, Shelley D. Dionne, Michael D. Mumford, Shane Connelly, Robert W. Martin, Colleen J. Standish, Tanner R. Newbold, Samantha England, Hiroki Sayama, Gregory A. Ruark
Publikováno v:
Complexity, Vol 2022 (2022)
The relationship between size and performance of collaborative human small groups has been studied broadly across management, psychology, economics, sociology, and engineering disciplines. However, empirical research findings on this question remain
Externí odkaz:
https://doaj.org/article/56649fe401c94f30af6abb37030df8c0
Autor:
Shane St Luce, Hiroki Sayama
Publikováno v:
Complexity, Vol 2022 (2022)
The concept of attractors is considered critical in the study of dynamical systems as they represent the set of states that a system gravitates toward. However, it is generally difficult to analyze attractors in complex systems due to multiple reason
Externí odkaz:
https://doaj.org/article/26d0722e787f4628a97c5a700816cde8
Publikováno v:
Northeast Journal of Complex Systems, Vol 3, Iss 2 (2021)
This paper follows NetSci High, a decade-long initiative to inspire teams of teenage researchers to develop, execute and disseminate original research in network science. The project introduced high school students to the computer-based analysis of n
Externí odkaz:
https://doaj.org/article/62493cd964834d108eceb90ef2c4a838