Ching Jin’s research involves network science, statistical physics, computational social science, and data analysis, with a particular focus on mathematical modeling of network dynamics, data-driven study of diffusion of innovations, understanding universal scaling in substitutive systems, and uncovering influence of social networks on product substitutions.
Yian Yin, Jian Gao, Benjamin F. Jones, and Dashun Wang (2021). Science, 371(6525), 128-130.
Yian Yin, Yang Wang, James A. Evans, and Dashun Wang (2019). Nature.
• Supplementary Information
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Yang Wang, Benjamin F. Jones, and Dashun Wang (2019). Nature Communications.
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• One of the 50 most read Nature Communications articles from across the life and biological sciences in 2019
Ching Jin, Chaoming Song, Johannes Bjelland, Geoffrey Canright, and Dashun Wang (in press). Nature Human Behaviour.
• arXiv preprint
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Lingfei Wu, Dashun Wang, and James A. Evans (2019). Nature.
• arXiv preprint
• Ranked by Altmetrics as one of the 100 most-discussed papers in 2019
Lu Liu, Yang Wang, Roberta Sinatra, C. Lee Giles, Chaoming Song, and Dashun Wang (2018). Nature.
• Data and Code
• arXiv preprint
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Roberta Sinatra, Dashun Wang, Pierre Deville, Chaoming Song, and Albert-László Barabási (2016). Science.
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Pierre Deville, Chaoming Song, Nathan Eagle, Vincent Blondel, Albert-László Barabási, and Dashun Wang (2016). Proceedings of the National Academy of Sciences (PNAS).
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Dashun Wang, Chaoming Song, and Albert-László Barabási (2013). Science, 342, 6154: 127-132.
• arXiv
• Supplementary Materials
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