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Strategic Learning and the Topology of Social Networks

Citations

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Cited by:

  1. Ding, Huihui & Pivato, Marcus, 2021. "Deliberation and epistemic democracy," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 138-167.
  2. Elchanan Mossel & Manuel Mueller‐Frank & Allan Sly & Omer Tamuz, 2020. "Social Learning Equilibria," Econometrica, Econometric Society, vol. 88(3), pages 1235-1267, May.
  3. Yi Li, 2020. "Internet Development and Structural Transformation: Evidence from China," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(1), pages 1-8.
  4. Sebastiano Della Lena, 2019. "Non-Bayesian Social Learning and the Spread of Misinformation in Networks," Working Papers 2019:09, Department of Economics, University of Venice "Ca' Foscari".
  5. Federico Ciliberto & Emily E. Cook & Jonathan W. Williams, 2019. "Network Structure and Consolidation in the U.S. Airline Industry, 1990–2015," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(1), pages 3-36, February.
  6. Delia Coculescu & Médéric Motte & Huyên Pham, 2024. "Opinion dynamics in communities with major influencers and implicit social influence via mean-field approximation," Mathematics and Financial Economics, Springer, volume 18, number 7, February.
  7. Aymanns, Christoph & Foerster, Jakob & Georg, Co-Pierre & Weber, Matthias, 2022. "Fake News in Social Networks," SocArXiv y4mkd, Center for Open Science.
  8. Ruoxi Ma & Shangguang Yang, 2023. "The Effect of Social Network on Controlled-Release Fertilizer Use: Evidence from Rice Large-Scale Farmers in Jiangsu Province, China," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
  9. Dasaratha, Krishna & He, Kevin, 2020. "Network structure and naive sequential learning," Theoretical Economics, Econometric Society, vol. 15(2), May.
  10. Arieli, Itai & Babichenko, Yakov & Peretz, Ron & Young, H. Peyton, 2020. "The speed of innovation diffusion in social networks," LSE Research Online Documents on Economics 102538, London School of Economics and Political Science, LSE Library.
  11. Itai Arieli & Fedor Sandomirskiy & Rann Smorodinsky, 2020. "On social networks that support learning," Papers 2011.05255, arXiv.org.
  12. Arieli, Itai & Babichenko, Yakov & Shlomov, Segev, 2021. "Virtually additive learning," Journal of Economic Theory, Elsevier, vol. 197(C).
  13. Itai Arieli & Yakov Babichenko & Ron Peretz & H. Peyton Young, 2018. "The Speed of Innovation Diffusion," Economics Papers 2018-W06, Economics Group, Nuffield College, University of Oxford.
  14. Christoph Aymanns & Jakob Foerster & Co-Pierre Georg, 2017. "Fake News in Social Networks," Papers 1708.06233, arXiv.org.
  15. Aroon Narayanan, 2022. "Social learning via actions in bandit environments," Papers 2205.06107, arXiv.org.
  16. Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Misinterpreting Others and the Fragility of Social Learning," Econometrica, Econometric Society, vol. 88(6), pages 2281-2328, November.
  17. Xuanye Wang, 2021. "Fragility of Confounded Learning," Papers 2106.07712, arXiv.org.
  18. Ningyuan Chen & Anran Li & Kalyan Talluri, 2021. "Reviews and Self-Selection Bias with Operational Implications," Management Science, INFORMS, vol. 67(12), pages 7472-7492, December.
  19. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
  20. Bahar, Gal & Arieli, Itai & Smorodinsky, Rann & Tennenholtz, Moshe, 2020. "Multi-issue social learning," Mathematical Social Sciences, Elsevier, vol. 104(C), pages 29-39.
  21. Arieli, Itai & Koren, Moran & Smorodinsky, Rann, 2022. "The implications of pricing on social learning," Theoretical Economics, Econometric Society, vol. 17(4), November.
  22. Abhijit Banerjee & Olivier Compte, 2024. "Consensus and Disagreement: Information Aggregation under (Not So) Naive Learning," Journal of Political Economy, University of Chicago Press, vol. 132(8), pages 2790-2829.
  23. Zenou, Yves & Jackson, Matthew O. & Rogers, Brian, 2016. "Networks: An economic perspective," CEPR Discussion Papers 11452, C.E.P.R. Discussion Papers.
  24. Christoph Aymanns & Jakob Foerster & Co-Pierre Georg, 2017. "Fake News in Social Networks," Working Papers on Finance 1804, University of St. Gallen, School of Finance.
  25. Schwarz, Marco A., 2017. "The Impact of Social Media On Belief Formation," Rationality and Competition Discussion Paper Series 57, CRC TRR 190 Rationality and Competition.
  26. Wade Hann-Caruthers & Minghao Pan & Omer Tamuz, 2024. "Network and timing effects in social learning," Papers 2412.07061, arXiv.org.
  27. Jan Hązła & Ali Jadbabaie & Elchanan Mossel & M. Amin Rahimian, 2021. "Bayesian Decision Making in Groups is Hard," Operations Research, INFORMS, vol. 69(2), pages 632-654, March.
  28. Camilo García-Jimeno & Angel Iglesias & Pinar Yildirim, 2018. "Women, Rails and Telegraphs: An Empirical Study of Information Diffusion and Collective Action," NBER Working Papers 24495, National Bureau of Economic Research, Inc.
  29. Sanjeev Goyal, 2015. "Networks in Economics: A Perspective on the Literature," Cambridge Working Papers in Economics 1548, Faculty of Economics, University of Cambridge.
  30. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asuman Ozdaglar, 2017. "Fast and Slow Learning From Reviews," NBER Working Papers 24046, National Bureau of Economic Research, Inc.
  31. Pena, Paul John & Lim, Dickson, 2019. "Learning With Friends: A Theoretical Note On The Role of Network Externalities In Human Capital Models For The New Industry," MPRA Paper 100172, University Library of Munich, Germany.
  32. Rapanos, Theodoros, 2023. "What makes an opinion leader: Expertise vs popularity," Games and Economic Behavior, Elsevier, vol. 138(C), pages 355-372.
  33. Mueller-Frank, Manuel & Arieliy, Itai, 2015. "A General Model of Boundedly Rational Observational Learning: Theory and Experiment," IESE Research Papers D/1120, IESE Business School.
  34. Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
  35. Krishna Dasaratha & Benjamin Golub & Nir Hak, 2018. "Learning from Neighbors about a Changing State," Papers 1801.02042, arXiv.org, revised Nov 2022.
  36. Yurij L. Katchanov & Yulia V. Markova, 2017. "The “space of physics journals”: topological structure and the Journal Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 313-333, October.
  37. Teddy Lazebnik & Svetlana Bunimovich-Mendrazitsky & Shai Ashkenazi & Eugene Levner & Arriel Benis, 2022. "Early Detection and Control of the Next Epidemic Wave Using Health Communications: Development of an Artificial Intelligence-Based Tool and Its Validation on COVID-19 Data from the US," IJERPH, MDPI, vol. 19(23), pages 1-17, November.
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