We study learning in three networks capturing different features of real-world social networks: Erdös–Rényi (a baseline for connections among homogeneous individuals), Stochastic Block (reflecting network homophily), and Royal Family (that accommodates “influential individuals” along with local interactions).
Feb 9, 2023
Feb 9, 2023 · We study learning dynam- ics in three large-scale networks capturing features of real-world social networks: Erdös–Rényi, Stochastic Block ( ...
We study learning dynamics in three large-scale networks capturing features of real-world social networks: Erdös–Rényi, Stochastic Block (reflecting network ...
We study learning dynamics in three large-scale networks capturing features of real-world social networks: Erdös–Rényi, Stochastic Block (reflecting network ...
We study learning dynamics in three large-scale networks capturing features of real-world social networks: Erdös–Rényi, Stochastic Block (reflecting network ...
An experiment on large networks with real-world features
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Learning in networks: An experiment on large networks with real-world features. Management Science, 69: 2547-3155. Copyright C-BID 2021, All rights reserved.
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Jun 1, 2022 · We study learning dynamics in three largescale networks capturing features of real-world social networks: Erdös-Rényi, Stochastic Block ( ...
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Learning in Networks: An Experiment on Large Networks with Real-world Features, May 2023 (with Sanjeev Goyal, Frédéric Moisan, Yu Yang Tony To). Management ...
We theoretically and empirically study an incomplete information model of social learning. Agents initially guess the binary state of the world after ...