Subhayan Mukerjee

Subhayan is a computational social scientist with a Ph.D. in Communication from the Annenberg School for Communication at the University of Pennsylvania. Prior to his doctoral studies, Subhayan graduated with a Bachelor of Engineering in Computer Science, and a Master of Science in Mathematics from BITS Pilani, India, and spent a couple of years in the industry working in software and data analytics.

Subhayan situates his research at the intersection of digital media and online human behaviour, drawing from a wide repertoire of computational methods that blend observational as well as experimental approaches – such as network analysis, statistical inference, and agent-based simulations. His research has appeared in international journals such as Journal of Communication, Political Communication, Communication and the Public, as well as in popular media outlets such as the Washington Post and the Indian Express.

He has been a researcher at the Berkman Klein Center for Internet & Society at Harvard University, and the Reuters Institute for the Study of Journalism at the University of Oxford, and has delivered invited lectures at New York University, Massachusetts Institute of Technology, and the University of Wisconsin-Madison.

At CNM, in addition to his research acivities, Subhayan is currently developing quantitative and computational modules for teaching.

Research Interests

Subhayan is interested in using computational methods such as

• social network analysis
• data science
• agent-based simulations, and
• online behavioral experiments

to understand online human behavior on digital media platforms, particularly in the domain of political communication.

Education

• Doctor of Philosophy (Ph.D.) University of Pennsylvania (2015 — 2020)
• Master of Arts (M.A.) University of Pennsylvania (2015 — 2017)
• Master of Science (M.Sc.) (Honors) Birla Institute of Technology and Science, Pilani (2009 — 2014)
• Bachelor of Engineering (B.E.) (Honors) Birla Institute of Technology and Science, Pilani (2009 — 2014)
• Council For The Indian School Certificate Examination St. Xavier's Collegiate School (1997 — 2009)

Publications

1. Mukerjee, S., Jaidka, L., & Lelkes, Y. The Political Landscape of the U.S. Twitterverse. (forthcoming) Political Communication
2. Mukerjee, S. (2022) Rethinking Audience Fragmentation Using a Theory of News Reading Publics: Online India as a Case Study. The International Journal of Press/Politics, 1–22
3. Mukerjee, S., Yang, T., Stadler, G. & González-Bailón, S. (2022) What Counts as a Weak Tie? A Comparison of Filtering Techniques to Analyze Co-Exposure to News. Social Networks, 68, 386–393
4. Mukerjee, S. (2021) A Systematic Comparison of Community Detection Algorithms for Measuring Selective Exposure in Co-exposure Networks. Scientific Reports, 11, 15218
5. Mukerjee, S., & Yang, T. (2021). Choosing to Avoid? A conjoint experimental study to understand selective exposure and avoidance on social media. Political Communication, 38(3), 222–240
6. Mukerjee, S., Majó-Vázquez, S., & González-Bailón, S. (2018). Networks of Audience Overlap in the Consumption of Digital News. Journal of Communication, 68(1), 26–50.
7. Mukerjee, S. (2016). Net neutrality, Facebook, and India’s battle to #SaveTheInternet. Communication and the Public, 1(3), 356–-361.