Dashun Wang
ABSTRACT
The rapid development of digital libraries and the proliferation of scholarly big data have created an unprecedented opportunity to explore scientific production and reward at scale. Fueled by the data exploration and computational advances in digital libraries, the science of science is an emerging multidisciplinary field that aims to quantify patterns for scientific relationships and dependencies, and how scientific progress emerges from the scholarly big data. In this tutorial, we will provide an overview of the science of science, including major topics on scientific careers, scientific collaborations and scientific ideas. We will also discuss its historical context, the state-of-art models and exciting discoveries, and promising future directions for participants interested in mining scholarly big data.
- Pierre Azoulay, Joshua Graff-Zivin, Brian Uzzi, Dashun Wang, Heidi Williams, James A Evans, Ginger Zhe Jin, Susan Feng Lu, Benjamin F Jones, Katy Börner, et al. 2018. Toward a more scientific science. Science , Vol. 361, 6408 (2018), 1194--1197.Google Scholar
Cross Ref
- Santo Fortunato, Carl T Bergstrom, Katy Börner, James A Evans, Dirk Helbing, Stavs a Milojevi?, Alexander M Petersen, Filippo Radicchi, Roberta Sinatra, Brian Uzzi, et al. 2018. Science of science. Science, Vol. 359, 6379 (2018), eaao0185.Google Scholar
- Lu Liu, Yang Wang, Roberta Sinatra, C Lee Giles, Chaoming Song, and Dashun Wang. 2018. Hot streaks in artistic, cultural, and scientific careers. Nature, Vol. 559, 7714 (2018), 396.Google Scholar
- Huawei Shen, Dashun Wang, Chaoming Song, and Albert-László Barabási. 2014. Modeling and predicting popularity dynamics via reinforced poisson processes. In Twenty-eighth AAAI conference on artificial intelligence.Google ScholarCross Ref
- Roberta Sinatra, Dashun Wang, Pierre Deville, Chaoming Song, and Albert-László Barabási. 2016. Quantifying the evolution of individual scientific impact. Science, Vol. 354, 6312 (2016), aaf5239.Google Scholar
- Dashun Wang, Chaoming Song, and Albert-László Barabási. 2013. Quantifying long-term scientific impact. Science, Vol. 342, 6154 (2013), 127--132.Google Scholar
- Lingfei Wu, Dashun Wang, and James A Evans. 2019. Large teams develop and small teams disrupt science and technology. Nature, Vol. 566, 7744 (2019), 378--382.Google Scholar
- Stefan Wuchty, Benjamin F Jones, and Brian Uzzi. 2007. The increasing dominance of teams in production of knowledge. Science, Vol. 316, 5827 (2007), 1036--1039.Google Scholar
Index Terms
- The Science of Science
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