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Disentangling direct from indirect relationships in association networks
Networks are vital tools for understanding and modeling interactions in complex systems in science and engineering, and direct and indirect interactions are pervasive in all types of networks. However, quantitatively disentangling direct and indirect relationships in networks remains a formidable ta...
Autores principales: | Xiao, Naijia, Zhou, Aifen, Kempher, Megan L., Zhou, Benjamin Y., Shi, Zhou Jason, Yuan, Mengting, Guo, Xue, Wu, Linwei, Ning, Daliang, Van Nostrand, Joy, Firestone, Mary K., Zhou, Jizhong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764688/ https://www.ncbi.nlm.nih.gov/pubmed/34992138 http://dx.doi.org/10.1073/pnas.2109995119 |
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