2023 Fiscal Year Annual Research Report
Simplifying social network data to predict spreading processes
Project/Area Number |
20H04288
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Research Institution | Kobe University |
Principal Investigator |
Barrat Alain 神戸大学, 計算社会科学研究センター, リサーチフェロー (10867287)
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Co-Investigator(Kenkyū-buntansha) |
上東 貴志 神戸大学, 計算社会科学研究センター, 教授 (30324908)
Holme Petter 神戸大学, 計算社会科学研究センター, リサーチフェロー (50802352)
村田 剛志 東京工業大学, 情報理工学院, 教授 (90242289)
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Project Period (FY) |
2020-04-01 – 2024-03-31
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Keywords | spreading processes / complex networks / network science / covid-19 / theoretical epidemiology / graph data |
Outline of Annual Research Achievements |
In FY 2023, we primarily investigated the relevance of network structures extracted from data in spreading dynamics. We focused on how these structures could be used to design efficient containment strategies. The project examined the role of backbones and temporal cores in spreading processes and found that acting on these structures can help contain epidemic outbreaks. Our project also explored the relative timescales of observation, network evolution, and the dynamic process under study. By identifying the optimal time window for aggregating time-varying networks, we were able to reduce redundancy and simplify the modeling of spreading processes on temporal networks by embedding techniques. We, furthermore, investigated the impact of incompleteness or noise on the outcome of data-driven models using previously developed representations and developed approaches to compensate for resulting biases.
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Research Progress Status |
令和5年度が最終年度であるため、記入しない。
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Strategy for Future Research Activity |
令和5年度が最終年度であるため、記入しない。
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Research Products
(19 results)
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[Journal Article] Public Health Impact of Paxlovid as Treatment for COVID-19, United States2024
Author(s)
Yuan Bai, Zhanwei Du, Lin Wang, Eric H. Y. Lau, Isaac Chun-Hai Fung, Petter Holme, Benjamin J. Cowling, Alison P. Galvani, Robert M. Krug, Lauren Ancel Meyers
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Journal Title
Emerging infectious Diseases
Volume: 30
Pages: 262-269
DOI
Peer Reviewed / Open Access / Int'l Joint Research
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[Journal Article] Protocol for the automatic extraction of epidemiological information via a pre-trained language model2023
Author(s)
Zhizheng Wang, Xiao Fan Liu, Zhanwei Du, Lin Wang, Ye Wu, Petter Holme, Michael Lachmann, Hongfei Lin, Zhuoyue Wang, Yu Cao, Zoie S.Y. Wong, Xiao-Ke Xu and Yuanyuan Sun
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Journal Title
STAR Protocols
Volume: 4
Pages: 102392
DOI
Peer Reviewed / Open Access / Int'l Joint Research
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