research-article

Network structure and social learning

Authors: Krishna Dasaratha, Kevin HeAuthors Info & Claims

ACM SIGecom Exchanges, Volume 19, Issue 2

Pages 62 - 67

Published: 06 December 2021 Publication History

Abstract

We describe results from Dasaratha and He [DH21a] and Dasaratha and He [DH20] about how network structure influences social learning outcomes. These papers share a tractable sequential model that lets us compare learning dynamics across networks. With Bayesian agents, incomplete networks can generate informational confounding that makes learning arbitrarily inefficient. With naive agents, related forces can lead to mislearning.

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Cited By

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Yu Z(2024)A systematic review of motivations, attitudes, learning outcomes, and parental involvement in social network sites in education across 15 yearsBehaviour & Information Technology10.1080/0144929X.2023.2260893(1-16)Online publication date: 5-Jan-2024
https://doi.org/10.1080/0144929X.2023.2260893

Network structure and social learning
1. Applied computing
  1. Law, social and behavioral sciences

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Information & Contributors

Information

Published In

ACM SIGecom Exchanges Volume 19, Issue 2

November 2021

83 pages

EISSN:1551-9031

DOI:10.1145/3505156

Editors:
Inbal Talgam-Cohen
Technion - Israel Institute of Technology
,
S. Matthew Weinberg
Princeton University

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 06 December 2021

Published in SIGECOM Volume 19, Issue 2

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Yu Z(2024)A systematic review of motivations, attitudes, learning outcomes, and parental involvement in social network sites in education across 15 yearsBehaviour & Information Technology10.1080/0144929X.2023.2260893(1-16)Online publication date: 5-Jan-2024
https://doi.org/10.1080/0144929X.2023.2260893

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