Jian Gao and Dashun Wang (2024). Nature Human Behaviour.
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Data, Measurement and Empirical Methods in the Science of Science→
/Lu Liu, Benjamin F. Jones, Brian Uzzi, and Dashun Wang (2023). Nature Human Behaviour.
Read MoreSciSciNet: A Large-Scale Open Data Lake for the Science of Science Research→
/Zihang Lin, Yian Yin, Lu Liu, and Dashun Wang (2023). Scientific Data, 10, 315.
Read MoreThe Promise and Pitfalls of the Metaverse for Science→
/Diego Gómez-Zará, Peter Schiffer, and Dashun Wang (2023). Nature Human Behaviour .
Read MoreInterdisciplinary Papers Supported by Disciplinary Grants Garner Deep and Broad Scientific Impact→
/Minsu Park, Suman Kalyan Maity, Stefan Wuchty, and Dashun Wang (2023). arXiv.
Read MoreCorrelated Impact Dynamics in Science→
/Jiazhen Liu, Tamang Kunal, Dashun Wang, and Chaoming Song (2023). arXiv.
Read MorePublic Use and Public Funding of Science→
/Yian Yin, Yuxiao Dong, Kuansan Wang, Dashun Wang, and Benjamin F. Jones (2022). Nature Human Behaviour.
Read MoreSee Further Upon the Giants: Quantifying Intellectual Lineage in Science→
/Woo Seong Jo, Lu Liu, and Dashun Wang (2022). Quantitative Science Studies.
Read MoreAutomatic Symmetry Discovery with Lie Algebra Convolutional Network→
/Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, and Rose Yu (2021). Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021).
Read MorePotentially Long-Lasting Effects of the Pandemic on Scientists→
/Jian Gao, Yian Yin, Kyle R. Myers, Karim R. Lakhani, and Dashun Wang (2021). Nature Communications, 12, 6188.
* One of the 25 most read Nature Communications articles in social sciences and human behavior in 2021
Adaptability and the Pivot Penalty in Science→
/Ryan Hill, Yian Yin, Carolyn Stein, Dashun Wang, and Benjamin F. Jones (2021). arXiv.
Read MoreUnderstanding the Onset of Hot Streaks Across Artistic, Cultural, and Scientific Careers (PDF)→
/Lu Liu, Nima Dehmamy, Jillian Chown, C. Lee Giles, and Dashun Wang (2021). Nature Communications, 12, 5392.
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Coevolution of Policy and Science During the Pandemic→
/Yian Yin, Jian Gao, Benjamin F. Jones, and Dashun Wang (2021). Science, 371(6525), 128-130.
Read MoreQuantifying Policy Responses to a Global Emergency: Insights from the COVID-19 Pandemic→
/Jian Gao, Yian Yin, Benjamin F. Jones, and Dashun Wang (2020). arXiv.
Read MoreUnequal Effects of the COVID-19 Pandemic on Scientists→
/Kyle R. Myers, Wei Yang Tham, Yian Yin, Nina Cohodes, Jerry G. Thursby, Marie C. Thursby, Peter E. Schiffer, Joseph T. Wals, Karim R. Lakhani, and Dashun Wang (2020). Nature Human Behaviour.
Read MoreScientific Elite Revisited: Patterns of Productivity, Collaboration, Authorship and Impact→
/Jichao Li, Yian Yin, Santo Fortunato, and Dashun Wang (2020). Journal of The Royal Society Interface, 17: 20200135
Read MoreIf You Want Creative Solutions, Keep Your Team Small (PDF)→
/Jeanne Brett and Dashun Wang (2020). Scientific American.
Read MoreRevealing the Predictability of Intrinsic Structure in Complex Networks→
/Jiachen Sun, Ling Feng, Jiarong Xie, Xiao Ma, Dashun Wang, and Yanqing Hu (2020). Nature Communications, 11, 574.
Read MoreQuantifying Dynamics of Failure Across Science, Startups, and Security (PDF)→
/Yian Yin, Yang Wang, James A. Evans, and Dashun Wang (2019). Nature.
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Early-Career Setback and Future Career Impact (PDF)→
/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
Emergence of Scaling in Complex Substitutive Systems (PDF)→
/Ching Jin, Chaoming Song, Johannes Bjelland, Geoffrey Canright, and Dashun Wang (in press). Nature Human Behaviour.
• arXiv preprint
• Supplementary Information
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A Dataset of Publication Records for Nobel Laureates→
/Jichao Li, Yian Yin, Santo Fortunato, and Dashun Wang (2019). Scientific Data, 6, 33.
Read MoreNobel Laureates Are Almost the Same as Us (PDF)→
/Jichao Li, Yian Yin, Santo Fortunato, and Dashun Wang (2019). Nature Reviews Physics.
Read MoreToward Understanding the Impact of Artificial Intelligence on Labor→
/Morgan R. Frank, David Autor, James E. Bessen, Erik Brynjolfsson, Manuel Cebrian, David J. Deming, Maryann Feldman, Matthew Groh, José Lobo, Esteban Moro, Dashun Wang, Hyejin Youn, and Iyad Rahwan (2019). PNAS.
Read MoreScience Looks Worse Because It’s Getting Better (PDF)→
/Dashun Wang (2019). Nature, 567, 311.
• Submitted version
Large Teams Develop and Small Teams Disrupt Science And Technology (PDF)→
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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
The Evolution of Citation Graphs in Artificial Intelligence Research→
/Morgan R. Frank, Dashun Wang, Manuel Cebrian, and Iyad Rahwan (2019). Nature Machine Intelligence, 1, 79-85.
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Taking Census of Physics→
/Federico Battiston, Federico Musciotto, Dashun Wang, Albert-László Barabási, Michael Szell, and Roberta Sinatra (2019). Nature Reviews Physics, 1, 89-97.
Read MoreHot Streaks in Artistic, Cultural, and Scientific Careers→
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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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Modeling Citation Dynamics of “Atypical” Papers (PDF)→
/Zhongyang He, Zhen Lei, and Dashun Wang (2018). Journal of the Association for Information Science and Technology, 69(9): 1148-1160
Read MoreScience of Science (PDF)→
/Santo Fortunato, Carl T. Bergstrom, Katy Boerner, James A. Evans, Dirk Helbing, Stasa Milojevic, Alexander M. Petersen, Filippo Radicchi, Roberta Sinatra, Brian Uzzi, Alessandro Vespignani, Ludo Waltman, Dashun Wang, and A.-L. Barabási (2018). Science, 359, 1007.
Read MoreThe Time Dimension of Science: Connecting the Past to the Future (PDF)→
/Yian Yin and Dashun Wang (2017). Journal of Informetrics, 11: 608–621.
Read MoreQuantifying Patterns of Research-Interest Evolution (PDF)→
/Tao Jia, Dashun Wang, and Boleslaw K. Szymanski (2017). Nature Human Behaviour.
Read MoreQuantifying the Evolution of Individual Scientific Impact (PDF)→
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Roberta Sinatra, Dashun Wang, Pierre Deville, Chaoming Song, and Albert-László Barabási (2016). Science.
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Connections Between Human Dynamics and Network Science (PDF)→
/Chaoming Song, Dashun Wang, and Albert-László Barabási.
• arXiv
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Scaling Identity Connects Human Mobility and Social Interactions (PDF)→
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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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Inspiration or Preparation? Explaining Creativity in Scientific Enterprise (PDF)→
/Xinyang Zhang, Dashun Wang, and Ting Wang. Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM-2016).
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Uncovering the Effect of Dominant Attributes on Community Topology: A Case of Facebook Networks (PDF)→
/Yi-Shan Sung, Dashun Wang, and Soundar Kumara (2016). Information Systems Frontiers.
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A Century of Physics (PDF)→
/Roberta Sinatra, Pierre Deville, Michael Szell, Dashun Wang, and Albert-László Barabási (2015). Nature Physics.
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Episogram: Visual Summarization of Egocentric Social Interactions (PDF)→
/Nan Cao, Yu-Ru Lin, Fan Du, and Dashun Wang (2015). IEEE Computer Graphics and Applications.
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Impact of Human Mobility on Social Networks (PDF)→
/Dashun Wang and Chaoming Song (2015). Journal of Communications and Networks, 17.2: 100-109.
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Why Amazon's Ratings Might Mislead You: The Story of Herding Effects (PDF)→
/Ting Wang and Dashun Wang (2014). Big Data, 2(4): 196-204.
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Quantifying Herding Effects in Crowd Wisdom (PDF)→
/Ting Wang, Dashun Wang, and Fei Wang (2014). Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD-2014), ACM.
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Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes (PDF)→
/Hua-Wei Shen, Dashun Wang, Chaoming Song, and Albert-László Barabási (2014). The Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-2014).
• arXiv
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Exploring Application Domains for Computational Creativity (PDF)→
/Ashish Jagmohan, Ying Li, Nan Shao, Anshul Sheopuri, Dashun Wang, Lav R. Varshney, and Pu Huang (2014). The 5th International Conference on Computational Creativity (ICCC-2014).
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Career on the Move: Geography, Stratification, and Scientific Impact (PDF)→
/Pierre Deville, Dashun Wang, Roberta Sinatra, Chaoming Song, Vincent Blondel, and Albert-László Barabási (2014). Scientific Reports, 4: 4770.
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Quantifying Information Flow During Emergencies (PDF)→
/L. Gao, C. Song, Z. Gao, A.-L. Barabási, J. P. Bagrow, and D. Wang (2014). Scientific Reports, 4: 3997.
• arXiv
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Quantifying Long-Term Scientific Impact (PDF)→
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Dashun Wang, Chaoming Song, and Albert-László Barabási (2013). Science, 342, 6154: 127-132.
• arXiv
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Statistical Physics in the Era of Big Data (PDF)→
/Dashun Wang (2013). Committee: Albert-László Barabási (Chair), Alain Karma, David Lazer, Alessandro Vespignani. Ph.D. Thesis.
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Handful of Papers Dominates Citation (PDF)→
/Albert-László Barabási, Chaoming Song, and Dashun Wang (2012). Nature, 491.7422: 40-40.
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A Complexity Science Perspective on Human Mobility (PDF)→
/Fosca Giannotti, Luca Pappalardo, Dino Pedreschi, and Dashun Wang (2012). Mobility Data: Modeling, Management, and Understanding, Edited by Esteban Zimanyi and Stefano Spaccapietra, Cambridge University Press.
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Human Mobility, Social Ties, and Link Prediction (PDF) →
/Dashun Wang, Dino Pedreschi, Chaoming Song, Fosca Giannotti, and Albert-László Barabási (2011). Proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2011), ACM.
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Collective Response of Human Populations to Large-Scale Emergencies (PDF)→
/James P. Bagrow, Dashun Wang, and Albert-László Barabási (2011). PLoS ONE, 6(3): e17680.
• Supporting Information
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Information Spreading in Context (PDF)→
/Dashun Wang, Zhen Wen, Hanghang Tong, Ching-Yung Lin, Chaoming Song, and Albert-László Barabási (2011). Proceedings of the 20th International Conference on World Wide Web (WWW-2011), ACM.
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