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Bayesian learning in social networks

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Cited by:

  1. Förster, Manuel & Grabisch, Michel & Rusinowska, Agnieszka, 2013. "Anonymous social influence," Games and Economic Behavior, Elsevier, vol. 82(C), pages 621-635.
  2. Victor Aguirregabiria & Jiaying Gu & Yao Luo & Pedro Mira, 2020. "A Dynamic Structural Model of Virus Diffusion and Network Production: A First Report," Working Papers wp2020_2014, CEMFI.
  3. Grabisch, Michel & Rusinowska, Agnieszka, 2013. "A model of influence based on aggregation functions," Mathematical Social Sciences, Elsevier, vol. 66(3), pages 316-330.
  4. Daron Acemoglu & Munther A. Dahleh & Ilan Lobel & Asuman Ozdaglar, 2011. "Bayesian Learning in Social Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(4), pages 1201-1236.
  5. Grzegorz Haᴌaj & Christoffer Kok, 2015. "Modelling the emergence of the interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 653-671, April.
  6. Michel Grabisch & Agnieszka Rusinowska, 2016. "Determining influential models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01318081, HAL.
  7. Michel Grabisch & Agnieszka Rusinowska & Xavier Venel, 2019. "Diffusion in countably infinite networks," Documents de travail du Centre d'Economie de la Sorbonne 19017, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  8. Buechel, Berno & Hellmann, Tim & Klößner, Stefan, 2015. "Opinion dynamics and wisdom under conformity," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 240-257.
  9. Deepanshu Vasal & Achilleas Anastasopoulos, 2016. "Decentralized Bayesian learning in dynamic games: A framework for studying informational cascades," Papers 1607.06847, arXiv.org, revised Apr 2018.
  10. Manuel Förster & Michel Grabisch & Agnieszka Rusinowska, 2012. "Ordered Weighted Averaging in Social Networks," Documents de travail du Centre d'Economie de la Sorbonne 12056, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  11. Jakob Grazzini & Domenico Massaro, 2021. "Dispersed information, social networks, and aggregate behavior," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1129-1148, July.
  12. Georg, Co-Pierre, 2014. "Contagious herding and endogenous network formation in financial networks," Working Paper Series 1700, European Central Bank.
  13. Lamberson PJ, 2010. "Social Learning in Social Networks," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 10(1), pages 1-33, August.
  14. Mueller-Frank, Manuel, 2014. "Does one Bayesian make a difference?," Journal of Economic Theory, Elsevier, vol. 154(C), pages 423-452.
  15. Christos Mavridis & Nikolas Tsakas, 2021. "Social Capital, Communication Channels and Opinion Formation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 56(4), pages 635-678, May.
  16. Sepideh Bazazi & Jorina von Zimmermann & Bahador Bahrami & Daniel Richardson, 2019. "Self-serving incentives impair collective decisions by increasing conformity," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-12, November.
  17. Marcos Ross Fernandes, 2023. "Confirmation Bias in Social Networks," Working Papers, Department of Economics 2023_02, University of São Paulo (FEA-USP).
  18. Elchanan Mossel & Allan Sly & Omer Tamuz, 2015. "Strategic Learning and the Topology of Social Networks," Econometrica, Econometric Society, vol. 83(5), pages 1755-1794, September.
  19. Battiston, Pietro & Stanca, Luca, 2015. "Boundedly rational opinion dynamics in social networks: Does indegree matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 400-421.
  20. Kets, W., 2008. "Networks and learning in game theory," Other publications TiSEM 7713fce1-3131-498c-8c6f-3, Tilburg University, School of Economics and Management.
  21. Vivi Alatas & Abhijit Banerjee & Arun G. Chandrasekhar & Rema Hanna & Benjamin A. Olken, 2016. "Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia," American Economic Review, American Economic Association, vol. 106(7), pages 1663-1704, July.
  22. Daron Acemoglu & Asuman Ozdaglar & Sarath Pattathil, 2023. "Learning, Diversity and Adaptation in Changing Environments: The Role of Weak Links," Papers 2305.00474, arXiv.org.
  23. Rusinowska, Agnieszka & Taalaibekova, Akylai, 2019. "Opinion formation and targeting when persuaders have extreme and centrist opinions," Journal of Mathematical Economics, Elsevier, vol. 84(C), pages 9-27.
  24. Francis Bloch & Gabrielle Demange & Rachel Kranton, 2018. "Rumors And Social Networks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(2), pages 421-448, May.
  25. Arieli, Itai & Babichenko, Yakov & Shlomov, Segev, 2021. "Virtually additive learning," Journal of Economic Theory, Elsevier, vol. 197(C).
  26. Wuggenig, Mirjam, 2015. "Learning faster or more precisely? Strategic experimentation in networks," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113196, Verein für Socialpolitik / German Economic Association.
  27. Polanski, Arnold & Vega-Redondo, Fernando, 2023. "Homophily and influence," Journal of Economic Theory, Elsevier, vol. 207(C).
  28. Tsakas, Nikolas, 2017. "Diffusion by imitation: The importance of targeting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 118-151.
  29. repec:hal:spmain:info:hdl:2441/3lcrvb72lq9f08o6s7j1m8j4d7 is not listed on IDEAS
  30. Yuval Peres & Miklos Z. Racz & Allan Sly & Izabella Stuhl, 2017. "How fragile are information cascades?," Papers 1711.04024, arXiv.org, revised Feb 2018.
  31. Isabel Melguizo, 2019. "Homophily and the Persistence of Disagreement," The Economic Journal, Royal Economic Society, vol. 129(619), pages 1400-1424.
  32. Sidartha Gordon & Emeric Henry & Pauli Murto, 2021. "Waiting for my neighbors," RAND Journal of Economics, RAND Corporation, vol. 52(2), pages 251-282, June.
  33. Harry Pei, 2020. "Reputation Building under Observational Learning," Papers 2006.08068, arXiv.org, revised Nov 2020.
  34. Celen, Bogachan & Hyndman, Kyle, 2006. "Endogenous Network Formation In the Laboratory," MPRA Paper 1440, University Library of Munich, Germany.
  35. Nicolas Vieille & E. Solan & D. Rosenberg, 2006. "Informational Externalities and Convergence of Behavior," Post-Print halshs-00120992, HAL.
  36. Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2021. "Information Cascades and Social Learning," Papers 2105.11044, arXiv.org.
  37. Kariv, Shachar, 2004. "A Theory and Experiments of Learning in Social Networks," Santa Cruz Department of Economics, Working Paper Series qt8853k4jd, Department of Economics, UC Santa Cruz.
  38. Syngjoo Choi & Douglas Gale & Shachar Kariv, 2012. "Social learning in networks: a Quantal Response Equilibrium analysis of experimental data," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 135-157, September.
  39. Rabin, Matthew & Eyster, Erik & Weizsäcker, Georg, 2015. "An Experiment on Social Mislearning," CEPR Discussion Papers 11020, C.E.P.R. Discussion Papers.
  40. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
  41. Müller, Jens & Weinrich, Arndt, 2020. "Tax knowledge diffusion via strategic alliances," arqus Discussion Papers in Quantitative Tax Research 253, arqus - Arbeitskreis Quantitative Steuerlehre.
  42. James C. D. Fisher & John Wooders, 2017. "Interacting information cascades: on the movement of conventions between groups," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 63(1), pages 211-231, January.
  43. , & ,, 2015. "Information diffusion in networks through social learning," Theoretical Economics, Econometric Society, vol. 10(3), September.
  44. Brandts, Jordi & Giritligil, Ayça Ebru & Weber, Roberto A., 2015. "An experimental study of persuasion bias and social influence in networks," European Economic Review, Elsevier, vol. 80(C), pages 214-229.
  45. Eboli, Mario, 2013. "A flow network analysis of direct balance-sheet contagion in financial networks," Kiel Working Papers 1862, Kiel Institute for the World Economy (IfW Kiel).
  46. Tsakas, Nikolas, 2012. "Naive learning in social networks: Imitating the most successful neighbor," MPRA Paper 37796, University Library of Munich, Germany.
  47. Feri, Francesco & Meléndez-Jiménez, Miguel A. & Ponti, Giovanni & Vega-Redondo, Fernando, 2011. "Error cascades in observational learning: An experiment on the Chinos game," Games and Economic Behavior, Elsevier, vol. 73(1), pages 136-146, September.
  48. Michel Grabisch & Agnieszka Rusinowska, 2010. "Iterating influence between players in a social network," Documents de travail du Centre d'Economie de la Sorbonne 10089, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  49. Aymanns, Christoph & Georg, Co-Pierre, 2015. "Contagious synchronization and endogenous network formation in financial networks," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 273-285.
  50. Jakob Grazzini & Domenico Massaro, 2016. "Dispersed Information and the Origins of Aggregate Fluctuations," CESifo Working Paper Series 5957, CESifo.
  51. , & , & ,, 2014. "Dynamics of information exchange in endogenous social networks," Theoretical Economics, Econometric Society, vol. 9(1), January.
  52. Wanying Huang & Philipp Strack & Omer Tamuz, 2021. "Learning in Repeated Interactions on Networks," Papers 2112.14265, arXiv.org, revised Nov 2023.
  53. Pietro Battiston & Luca Stanca, 2014. "Boundedly Rational Opinion Dynamics in Directed Social Networks: Theory and Experimental Evidence," Working Papers 267, University of Milano-Bicocca, Department of Economics, revised Jan 2014.
  54. Cabrales, Antonio; Gale, Douglas; Gottardi, Piero, 2015. "Financial Contagion in Networks," Economics Working Papers ECO2015/01, European University Institute.
  55. Krishna Dasaratha & Kevin He, 2019. "Aggregative Efficiency of Bayesian Learning in Networks," Papers 1911.10116, arXiv.org, revised Aug 2023.
  56. Rasoul Shafipour & Raiyan Abdul Baten & Md Kamrul Hasan & Gourab Ghoshal & Gonzalo Mateos & Mohammed Ehsan Hoque, 2018. "Buildup of speaking skills in an online learning community: a network-analytic exploration," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-10, December.
  57. Anja Prummer & Jan-Peter Siedlarek, 2014. "Institutions and the Preservation of Cultural Traits," Cambridge Working Papers in Economics 1465, Faculty of Economics, University of Cambridge.
  58. Michel Grabisch & Agnieszka Rusinowska, 2016. "Determining models of influence," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 26(2), pages 69-85.
  59. Ilan Lobel & Evan Sadler, 2016. "Preferences, Homophily, and Social Learning," Operations Research, INFORMS, vol. 64(3), pages 564-584, June.
  60. Corazzini, Luca & Pavesi, Filippo & Petrovich, Beatrice & Stanca, Luca, 2012. "Influential listeners: An experiment on persuasion bias in social networks," European Economic Review, Elsevier, vol. 56(6), pages 1276-1288.
  61. Foerster, Manuel, 2018. "Finite languages, persuasion bias, and opinion fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 46-57.
  62. Syngjoo Choi, 2012. "A cognitive hierarchy model of learning in networks," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 215-250, September.
  63. Elchanan Mossel & Manuel Mueller‐Frank & Allan Sly & Omer Tamuz, 2020. "Social Learning Equilibria," Econometrica, Econometric Society, vol. 88(3), pages 1235-1267, May.
  64. Ganga Shreedhar, Alessandro Tavoni, Carmen Marchiori, 2018. "Monitoring and punishment networks in a common-pool resource dilemma: experimental evidence," GRI Working Papers 292, Grantham Research Institute on Climate Change and the Environment.
  65. Fang, Aili & Wang, Lin & Zhao, Jiuhua & Wang, Xiaofan, 2013. "Chaos in social learning with multiple true states," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5786-5792.
  66. Barrdear, John, 2014. "Peering into the mist: social learning over an opaque observation network," LSE Research Online Documents on Economics 58083, London School of Economics and Political Science, LSE Library.
  67. Song, Yangbo & Zhang, Jiahua, 2020. "Social learning with coordination motives," Games and Economic Behavior, Elsevier, vol. 123(C), pages 81-100.
  68. Syngjoo Choi & Douglas Gale & Shachar Kariv, 2005. "Learning in Networks: An Experimental Study," Levine's Bibliography 122247000000000044, UCLA Department of Economics.
  69. Rosenberg, Dinah & Solan, Eilon & Vieille, Nicolas, 2009. "Informational externalities and emergence of consensus," Games and Economic Behavior, Elsevier, vol. 66(2), pages 979-994, July.
  70. Syngjoo Choi & Edoardo Gallo & Shachar Kariv, 2015. "Networks in the laboratory," Cambridge Working Papers in Economics 1551, Faculty of Economics, University of Cambridge.
  71. Berno Buechel & Stefan Klößner & Martin Lochmüller & Heiko Rauhut, 2020. "The strength of weak leaders: an experiment on social influence and social learning in teams," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 259-293, June.
  72. Rapanos, Theodoros, 2023. "What makes an opinion leader: Expertise vs popularity," Games and Economic Behavior, Elsevier, vol. 138(C), pages 355-372.
  73. Camargo, Braz, 2014. "Learning in society," Games and Economic Behavior, Elsevier, vol. 87(C), pages 381-396.
  74. 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.
  75. Syngjoo Choi & Sanjeev Goyal & Frederic Moisan & Yu Yang Tony To, 2023. "Learning in Networks: An Experiment on Large Networks with Real-World Features," Management Science, INFORMS, vol. 69(5), pages 2778-2787, May.
  76. Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
  77. Krishna Dasaratha & Benjamin Golub & Nir Hak, 2018. "Learning from Neighbors about a Changing State," Papers 1801.02042, arXiv.org, revised Nov 2022.
  78. Marcos Fernandes, 2019. "Confirmation Bias in Social Networks," Department of Economics Working Papers 19-05, Stony Brook University, Department of Economics.
  79. Akylai Taalaibekova, 2018. "Opinion formation in social networks," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 28(2), pages 85-108.
  80. repec:hal:wpspec:info:hdl:2441/3lcrvb72lq9f08o6s7j1m8j4d7 is not listed on IDEAS
  81. Nikolas Tsakas, 2014. "Optimal influence under observational learning," Gecomplexity Discussion Paper Series 4, Action IS1104 "The EU in the new complex geography of economic systems: models, tools and policy evaluation", revised Nov 2014.
  82. Catherine Tucker, 2008. "Social Interactions, Network Fluidity and Network Effects," Working Papers 08-30, NET Institute.
  83. Golub, Benjamin & Jackson, Matthew O., 2009. "How Homophily Affects Learning and Diffusion in Networks," Sustainable Development Papers 50718, Fondazione Eni Enrico Mattei (FEEM).
  84. Kimberley Scharf, 2014. "Private Provision Of Public Goods And Information Diffusion In Social Groups," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(4), pages 1019-1042, November.
  85. Daron Acemoglu & Asuman Ozdaglar, 2011. "Opinion Dynamics and Learning in Social Networks," Dynamic Games and Applications, Springer, vol. 1(1), pages 3-49, March.
  86. Tsakas Nikolas, 2014. "Imitating the Most Successful Neighbor in Social Networks," Review of Network Economics, De Gruyter, vol. 12(4), pages 1-33, February.
  87. Matan Harel & Elchanan Mossel & Philipp Strack & Omer Tamuz, 2021. "Rational Groupthink," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(1), pages 621-668.
    • Matan Harel & Elchanan Mossel & Philipp Strack & Omer Tamuz, 2014. "Rational Groupthink," Papers 1412.7172, arXiv.org, revised Jun 2020.
  88. Ding, Huihui & Pivato, Marcus, 2021. "Deliberation and epistemic democracy," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 138-167.
  89. Mantilla, César, 2015. "Communication networks in common-pool resource games: Field experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 215-226.
  90. Yash Deshpande & Elchanan Mossel & Youngtak Sohn, 2022. "Agreement and Statistical Efficiency in Bayesian Perception Models," Papers 2205.11561, arXiv.org, revised Aug 2023.
  91. 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".
  92. Marc Santugini, 2020. "On the consumer problem under an informational externality," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 8(1), pages 149-161, April.
  93. Mueller-Frank, Manuel, 2015. "Reaching Consensus in Social Networks," IESE Research Papers D/1116, IESE Business School.
  94. Mario Eboli, 2015. "Diffusion of innovations in dense and sparse networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1559-1571, July.
  95. Cremonini, Marco, 2016. "Introducing serendipity in a social network model of knowledge diffusion," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 64-71.
  96. Antonio Guarino & Antonella Ianni, 2010. "Bayesian Social Learning with Local Interactions," Games, MDPI, vol. 1(4), pages 1-21, October.
  97. Matjaž Steinbacher & Mitja Steinbacher, 2019. "Opinion Formation with Imperfect Agents as an Evolutionary Process," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 479-505, February.
  98. Jackson, Matthew O. & Golub, Benjamin, 2007. "Naive Learning in Social Networks: Convergence, Influence and Wisdom of Crowds," Coalition Theory Network Working Papers 9101, Fondazione Eni Enrico Mattei (FEEM).
  99. Eboli, Mario, 2019. "A flow network analysis of direct balance-sheet contagion in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 205-233.
  100. Foerster, Manuel, 2019. "Dynamics of strategic information transmission in social networks," Theoretical Economics, Econometric Society, vol. 14(1), January.
  101. ,, 2013. "A general framework for rational learning in social networks," Theoretical Economics, Econometric Society, vol. 8(1), January.
  102. Duffie, Darrell & Malamud, Semyon & Manso, Gustavo, 2014. "Information percolation in segmented markets," Journal of Economic Theory, Elsevier, vol. 153(C), pages 1-32.
  103. Szeidl, Adam & Mobius, Markus & Phan, Tuan, 2015. "Treasure Hunt: Social Learning in the Field," CEPR Discussion Papers 10493, C.E.P.R. Discussion Papers.
  104. Jadbabaie, Ali & Molavi, Pooya & Sandroni, Alvaro & Tahbaz-Salehi, Alireza, 2012. "Non-Bayesian social learning," Games and Economic Behavior, Elsevier, vol. 76(1), pages 210-225.
  105. Ilan Lobel & Evan Sadler, 2013. "Preferences, Homophily, and Social Learning," Working Papers 13-01, NET Institute.
  106. Pan, Zhengzheng, 2010. "Trust, influence, and convergence of behavior in social networks," Mathematical Social Sciences, Elsevier, vol. 60(1), pages 69-78, July.
  107. Azomahou, T. & Opolot, D., 2014. "Beliefs dynamics in communication networks," MERIT Working Papers 2014-034, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  108. Mark Bowden & Stuart McDonald, 2008. "The Impact of Interaction and Social Learning on Aggregate Expectations," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 289-306, April.
  109. Abdou Majeed Alidou & J'ulia Balig'acs & Max Hahn-Klimroth & Jan Hk{a}z{l}a & Lukas Hintze & Olga Scheftelowitsch, 2024. "Inevitability of Polarization in Geometric Opinion Exchange," Papers 2402.08446, arXiv.org.
  110. Song, Yangbo, 2016. "Social learning with endogenous observation," Journal of Economic Theory, Elsevier, vol. 166(C), pages 324-333.
  111. Pooya Molavi & Ceyhun Eksin & Alejandro Ribeiro & Ali Jadbabaie, 2016. "Learning to Coordinate in Social Networks," Operations Research, INFORMS, vol. 64(3), pages 605-621, June.
  112. 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.
  113. Vincent Mak & Rami Zwick, 2014. "Experimenting and learning with localized direct communication," Experimental Economics, Springer;Economic Science Association, vol. 17(2), pages 262-284, June.
  114. Saeed Badri & Bernd Heidergott & Ines Lindner, 2022. "Na?ve Learning in Social Networks with Fake News: Bots as a Singularity," Tinbergen Institute Discussion Papers 22-097/II, Tinbergen Institute.
  115. Arun G. Chandrasekhar & Horacio Larreguy & Juan Pablo Xandri, 2015. "Testing Models of Social Learning on Networks: Evidence from a Lab Experiment in the Field," NBER Working Papers 21468, National Bureau of Economic Research, Inc.
  116. Gustavo Manso & Farzad Pourbabaee, 2022. "The Impact of Connectivity on the Production and Diffusion of Knowledge," Papers 2202.00729, arXiv.org.
  117. 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.
  118. Gustavo Adolfo Caballero Orozco, 2016. "Luck and Effort: Learning about Income from Friends and Neighbors," 2016 Papers pca706, Job Market Papers.
  119. Acemoglu, Daron & Ozdaglar, Asuman & ParandehGheibi, Ali, 2010. "Spread of (mis)information in social networks," Games and Economic Behavior, Elsevier, vol. 70(2), pages 194-227, November.
  120. Duffie, Darrell & Malamud, Semyon & Manso, Gustavo, 2015. "Reprint of: Information percolation in segmented markets," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 838-869.
  121. Bogaçhan Çelen & Kyle Hyndman, 2012. "Social Learning Through Endogenous Information Acquisition: An Experiment," Management Science, INFORMS, vol. 58(8), pages 1525-1548, August.
  122. Cassar, Alessandra & Rigdon, Mary, 2011. "Trust and trustworthiness in networked exchange," Games and Economic Behavior, Elsevier, vol. 71(2), pages 282-303, March.
  123. Beth Simmons & Jens Hainmueller, 2005. "Can Domestic Institutions Explain Exchange Rate Regime Choice? The Political Economy of Monetary Institutions Reconsidered," International Finance 0505011, University Library of Munich, Germany.
  124. Fang, Aili & Wang, Lin & Wei, Xinjiang, 2019. "Social learning with multiple true states," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 375-386.
  125. Wuggenig, Mirjam, 2014. "Learning faster or more precisely? Strategic experimentation in networks," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 485, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
  126. Marcos R. Fernandes, 2022. "Confirmation Bias in Social Networks," Papers 2207.12594, arXiv.org, revised Feb 2023.
  127. Liu, Qipeng & Wang, Xiaofan, 2013. "Social learning with bounded confidence and heterogeneous agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2368-2374.
  128. Itay P. Fainmesser & David A. Goldberg, 2011. "Bilateral and Community Enforcement in a Networked Market with Simple Strategies," Working Papers 2011-2, Brown University, Department of Economics.
  129. Daron Acemoğlu & Giacomo Como & Fabio Fagnani & Asuman Ozdaglar, 2013. "Opinion Fluctuations and Disagreement in Social Networks," Mathematics of Operations Research, INFORMS, vol. 38(1), pages 1-27, February.
  130. De Caux, Robert & McGroarty, Frank & Brede, Markus, 2017. "The evolution of risk and bailout strategy in banking systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 109-118.
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