Learning in Canonical Networks
To, Y. Y. T.
Cambridge Working Papers in Economics
Janeway Institute Working Paper Series
Faculty of Economics, University of Cambridge
MetadataShow full item record
Choi, S., Goyal, S., Moisan, F., & To, Y. Y. T. (2022). Learning in Canonical Networks. https://doi.org/10.17863/CAM.86220
Subjects observe a private signal and then make an initial guess; they observe their neighbors’ guesses and guess again, and so forth. We study learning dynamics in three networks: Erdös-Rényi, Stochastic Block (reflecting homophily) and Royal Family (that accommodates both highly connected celebrities and local intearctions). We find that the Royal Family network is more likely to sustain incorrect consensus and that the Stochastic Block network is more likely to persist with diverse beliefs. These aggregate patterns are consistent with individuals following DeGroot updating rule.
social learning, social networks, experimental social science, consensus
This record's DOI: https://doi.org/10.17863/CAM.86220
This record's URL: https://www.repository.cam.ac.uk/handle/1810/338813
All Rights Reserved
Licence URL: https://www.rioxx.net/licenses/all-rights-reserved/