Hao Peng (彭浩)
Postdoctoral Fellow @ NICO
Kellogg School of Management
hao.peng@kellogg.northwestern.edu
CV
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About
Hao Peng is a Postdoc at the Kellogg School of Management. He works with Brian Uzzi at the Northwestern Institute on Complex Systems.
His research is in computational social science, social networks, and innovation management. He studies the dissemination of innovation and the DEI issues in the innovation market. His research aims to understand how individuals and organizations, particularly those in the knowledge industry, can refine their human capital to accelerate discoveries and breakthroughs.
Dr. Peng holds a PhD from University of Michigan School of Information and a BS in Information Management from Sun Yat-sen University in China.
Updates
- 09/2022: New paper studying novelty and acceptance published in PNAS!
- 04/2022: New paper studying retracted papers and their misinformation published in PNAS!
- 10/2021: Our team won the best paper award of SIG/MET at ASIS&T 2021!
- 02/2021: New paper accepted by Science Advances! Check out this interactive map of innovation landscape.
- 11/2020: New paper studying the speed of information diffusion accepted by PRE!
- 09/2020: New Scientist wrote a story about our paper on ethnic bias in author mentions in science reporting!
- 09/2019: Our Echo Demo won the 2nd Prize in the John Hunter Excellence in Plotting Contest at SciPy 2019!
Preprints
* denotes equal contribution.
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Promotional Language and the Adoption of Innovative Ideas in Science
Hao Peng*, Huilian Sophie Qiu*, Henrik Barslund Fosse, Brian Uzzi
[In Review]
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The Gender Gap in Scholarly Self-Promotion on Social Media
Hao Peng, Misha Teplitskiy, Daniel M. Romero, Emőke-Ágnes Horvát
[In Review] | arXiv
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Author Mentions in Science News Reveal Widespread Disparities Across Name-inferred Ethnicities
Hao Peng, Misha Teplitskiy, David Jurgens
[In Review] | arXiv
Press: New Scientist
Selected Publications
Please visit my Google Scholar profile for more details.
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Is Novel Research Worth Doing? Evidence From Peer Review at 49 Journals
Misha Teplitskiy, Hao Peng, Andrea Blasco, Karim R. Lakhani
PNAS 119, e2118046119 (2022)
Link | PDF
Press: Michigan News
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Dynamics of Cross-Platform Attention to Retracted Papers
Hao Peng, Daniel M. Romero, Emőke-Ágnes Horvát
PNAS 119, e2119086119 (2022)
Link | PDF | Code
Press: Washington Post | Le Monde (French) | Deutschlandfunk (German Radio) | Northwestern Now
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Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations
Hao Peng, Qing Ke, Ceren Budak, Daniel M. Romero, Yong-Yeol Ahn
Science Advances 7, eabb9004 (2021)
Link | PDF | Code | Map
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Network Modularity Controls the Speed of Information Diffusion
Hao Peng, Azadeh Nematzadeh, Daniel M. Romero, Emilio Ferrara
Physical Review E 102, 052316 (2020)
Link | PDF | Code
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Social Influence and Unfollowing Accelerate the Emergence of Echo Chambers
Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini, Filippo Menczer
Journal of Computational Social Science (2020)
Link | Demo
Press: Scientific American | The Conversation | Yahoo!
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Event-Driven Analysis of Crowd Dynamics in the Black Lives Matter Online Social Movement
Hao Peng, Ceren Budak, Daniel M. Romero
Proceedings of The Web Conference (WWW'19)
Link | PDF
Fun
I shoot portrait photography. I enjoy workout and travel. I love many kinds of authentic food.