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Characterizing partisan political narrative frameworks about COVID-19 on Twitter
EPJ Data Science, 2021 The COVID-19 pandemic is a global crisis that has been testing every society and exposing the critical role of local politics in crisis response. In the United States, there has been a strong partisan divide between the Democratic and Republican party’s ...
Elise Jing, Yong-Yeol Ahn
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Detection of oceanic Rossby waves in the extratropics by complex networks
, 2022 Complex network is a versatile tool for exploring the internal structures and dynamical properties of complex system. The Earth's climate is a typical complex system, and the climate variability is mainly controlled by Sun-Earth interactions on planetary
Gao, Meng +3 more
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Deciphering the physiological response of Escherichia coli under high ATP demand
Molecular Systems Biology, 2021 One long‐standing question in microbiology is how microbes buffer perturbations in energy metabolism. In this study, we systematically analyzed the impact of different levels of ATP demand in Escherichia coli under various conditions (aerobic and ...
Simon Boecker +6 more
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Network-based prediction of drug combinations
Nature Communications, 2019 Combination therapy holds great promise, but discovery remains challenging. Here, the authors propose a method to identify efficacious drug combinations for specific diseases, and find that successful combinations tend to target separate neighbourhoods ...
Feixiong Cheng +2 more
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Fragmentation of outage clusters during the recovery of power distribution grids
Nature Communications, 2022 Here the authors, by using data from three electrical companies in the USA, find that the recovery duration of an outage is connected with the downtime of its nearby outages and blackout intensity and present a cluster-based recovery framework.
Hao Wu +5 more
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Publisher Correction: Network-based prediction of drug combinations
Nature Communications, 2019 The original version of this Article contained an error in Acknowledgements, which incorrectly omitted the following: ‘This work was also supported by NHLBI grant P01HL132825 to A.-L.B.’ This has been corrected in both the PDF and HTML versions of the ...
Feixiong Cheng +2 more
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Principled approach to the selection of the embedding dimension of networks
Nature Communications, 2021 Network embedding is a machine learning technique for construction of low-dimensional representations of large networks. Gu et al. propose a method for the identification of an optimal embedding dimension for the encoding of network structural ...
Weiwei Gu +3 more
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Brain Sciences, 2021 Alcohol consumption is now common practice worldwide, and functional brain networks are beginning to reveal the complex interactions observed with alcohol consumption and abstinence.
Hope Peterson +7 more
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Multi-dimensional geometric complexity in urban transportation systems
Journal of Transport and Land Use, 2017 Transportation networks serve as windows into the complex world of urban systems. By properly characterizing a road network, one can better understand its encompassing urban system.
Farideddin Peiravian, Sybil Derrible
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