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Opinion Dynamics and Learning in Social Networks

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Cited by:

  1. Michel Grabisch & Agnieszka Rusinowska, 2020. "A Survey on Nonstrategic Models of Opinion Dynamics," Games, MDPI, vol. 11(4), pages 1-29, December.
  2. Ding, Huihui & Pivato, Marcus, 2021. "Deliberation and epistemic democracy," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 138-167.
  3. David Müller & Vladimir Shikhman, 2022. "Network manipulation algorithm based on inexact alternating minimization," Computational Management Science, Springer, vol. 19(4), pages 627-664, October.
  4. Fã–Rster, Manuel & Mauleon, Ana & Vannetelbosch, Vincent J., 2016. "Trust and manipulation in social networks," Network Science, Cambridge University Press, vol. 4(2), pages 216-243, June.
  5. Antonio Jiménez-Martínez, 2015. "A model of belief influence in large social networks," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 59(1), pages 21-59, May.
  6. Shyam Gouri Suresh & Scott Jeffrey, 2017. "The Consequences of Social Pressures on Partisan Opinion Dynamics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(2), pages 242-259, March.
  7. Grabisch, Michel & Poindron, Alexis & Rusinowska, Agnieszka, 2019. "A model of anonymous influence with anti-conformist agents," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
  8. Eger, Steffen, 2016. "Opinion dynamics and wisdom under out-group discrimination," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 97-107.
  9. Michel Grabisch & Agnieszka Rusinowska, 2016. "Determining influential models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01318081, HAL.
  10. 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".
  11. 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.
  12. Michel Grabisch & Fen Li, 2020. "Anti-conformism in the Threshold Model of Collective Behavior," Dynamic Games and Applications, Springer, vol. 10(2), pages 444-477, June.
  13. Muller, Eitan & Peres, Renana, 2019. "The effect of social networks structure on innovation performance: A review and directions for research," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 3-19.
  14. 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.
  15. Phillip Monin & Richard Bookstaber, 2017. "Information Flows, the Accuracy of Opinions, and Crashes in a Dynamic Network," Staff Discussion Papers 17-01, Office of Financial Research, US Department of the Treasury.
  16. Fernandes, Marcos R., 2023. "Confirmation bias in social networks," Mathematical Social Sciences, Elsevier, vol. 123(C), pages 59-76.
  17. Leonardo D'Amico & Guido Tabellini, 2022. "Online Political Debates," CESifo Working Paper Series 9696, CESifo.
  18. Patrick Mellacher, 2021. "Opinion Dynamics with Conflicting Interests," Papers 2111.09408, arXiv.org.
  19. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
  20. 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.
  21. Maciel, Marcelo V. & Martins, André C.R., 2020. "Ideologically motivated biases in a multiple issues opinion model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
  22. Farzaneh Farhadi & Hamidreza Tavafoghi & Demosthenis Teneketzis & S. Jamaloddin Golestani, 2019. "An Efficient Dynamic Allocation Mechanism for Security in Networks of Interdependent Strategic Agents," Dynamic Games and Applications, Springer, vol. 9(4), pages 914-941, December.
  23. Marcos Ross Fernandes, 2023. "Confirmation Bias in Social Networks," Working Papers, Department of Economics 2023_02, University of São Paulo (FEA-USP).
  24. Michel Grabisch & Antoine Mandel & Agnieszka Rusinowska & Emily Tanimura, 2015. "Strategic influence in social networks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01158168, HAL.
  25. John Barrdear, 2014. "Peering into the mist: social learning over an opaque observation network," Discussion Papers 1409, Centre for Macroeconomics (CFM).
  26. 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.
  27. 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.
  28. 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.
  29. Muhammad Umar B. Niazi & A. Bülent Özgüler, 2021. "A Differential Game Model of Opinion Dynamics: Accord and Discord as Nash Equilibria," Dynamic Games and Applications, Springer, vol. 11(1), pages 137-160, March.
  30. GRABISCH, Michel & RUSINOWSKA, Agnieszka & VENEL, Xavier, 2022. "Diffusion in large networks," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
  31. Guodong Shi & Alexandre Proutiere & Mikael Johansson & John S. Baras & Karl H. Johansson, 2016. "The Evolution of Beliefs over Signed Social Networks," Operations Research, INFORMS, vol. 64(3), pages 585-604, June.
  32. Jan Hk{a}z{l}a & Yan Jin & Elchanan Mossel & Govind Ramnarayan, 2019. "A Geometric Model of Opinion Polarization," Papers 1910.05274, arXiv.org, revised Aug 2021.
  33. Ionel Popescu & Tushar Vaidya, 2019. "Averaging plus Learning Models and Their Asymptotics," Papers 1904.08131, arXiv.org, revised Jul 2023.
  34. Andrea Galeotti & Benjamin Golub & Sanjeev Goyal & Rithvik Rao, 2021. "Discord and Harmony in Networks," Papers 2102.13309, arXiv.org.
  35. 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.
  36. Michel Grabisch & Agnieszka Rusinowska & Xavier Venel, 2022. "Diffusion in large networks," Post-Print halshs-03688783, HAL.
  37. Glass, Catherine A. & Glass, David H., 2021. "Opinion dynamics of social learning with a conflicting source," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
  38. Kanu, Edmond Augustine & Henning, Christian H. C. A., 2019. "An assessment of land reform policy processes in Sierra Leone: A network based approach," Working Papers of Agricultural Policy WP2019-04, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
  39. 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.
  40. Crès, Hervé & Tvede, Mich, 2022. "Aggregation of opinions in networks of individuals and collectives," Journal of Economic Theory, Elsevier, vol. 199(C).
  41. Christian Ganser & Marc Keuschnigg, 2018. "Social Influence Strengthens Crowd Wisdom Under Voting," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-23, September.
  42. Andreas Koulouris & Ioannis Katerelos & Theodore Tsekeris, 2013. "Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(1), pages 51-70.
  43. Peng, Weicai & Tian, Zhongjun & Wang, Yefeng, 2020. "Price guarantee for advance selling in the presence of preorder-dependent social learning," International Journal of Production Economics, Elsevier, vol. 219(C), pages 115-122.
  44. Isabel Melguizo, 2019. "Homophily and the Persistence of Disagreement," The Economic Journal, Royal Economic Society, vol. 129(619), pages 1400-1424.
  45. Rainer Hegselmann & Stefan König & Sascha Kurz & Christoph Niemann & Jörg Rambau, 2015. "Optimal Opinion Control: The Campaign Problem," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(3), pages 1-18.
  46. Alvarez, Emiliano & Brida, Juan Gabriel, 2019. "What about the others? Consensus and equilibria in the presence of self-interest and conformity in social groups," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 285-298.
  47. Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2021. "Information Cascades and Social Learning," Papers 2105.11044, arXiv.org.
  48. Davide Crapis & Bar Ifrach & Costis Maglaras & Marco Scarsini, 2017. "Monopoly Pricing in the Presence of Social Learning," Management Science, INFORMS, vol. 63(11), pages 3586-3608, November.
  49. Tiago V. V. Cavalcanti & Chryssi Giannitsarou, 2017. "Growth and Human Capital: A Network Approach," Economic Journal, Royal Economic Society, vol. 127(603), pages 1279-1317, August.
  50. Toon Haer & W. J. Wouter Botzen & Hans de Moel & Jeroen C. J. H. Aerts, 2017. "Integrating Household Risk Mitigation Behavior in Flood Risk Analysis: An Agent‐Based Model Approach," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1977-1992, October.
  51. Chen, Shuwei & Glass, David H. & McCartney, Mark, 2016. "Characteristics of successful opinion leaders in a bounded confidence model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 426-436.
  52. Collins-Sowah, Peron A. & Adjin, K. Christophe & Henning, Christian H. C. A., 2019. "Complementary impact of social capital on the adoption of productivity enhancing technologies: Evidence from Senegal," Working Papers of Agricultural Policy WP2019-03, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
  53. , & ,, 2015. "Information diffusion in networks through social learning," Theoretical Economics, Econometric Society, vol. 10(3), September.
  54. Shixiong Wang & Fangfang Su & Lu Ye & Yuan Jing, 2022. "Disinformation: A Bibliometric Review," IJERPH, MDPI, vol. 19(24), pages 1-21, December.
  55. Ewerhart, Christian & Valkanova, Kremena, 2020. "Fictitious play in networks," Games and Economic Behavior, Elsevier, vol. 123(C), pages 182-206.
  56. Agnieszka Kowalska-Styczeń & Krzysztof Malarz, 2020. "Noise induced unanimity and disorder in opinion formation," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-22, July.
  57. Grunenberg, Michael & Henning, Christian H. C. A., 2019. "Social embeddedness in stakeholder networks and legislators' policy preferences: The case of German livestock policy," Working Papers of Agricultural Policy WP2019-06, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
  58. Niamir, Leila & Filatova, Tatiana & Voinov, Alexey & Bressers, Hans, 2018. "Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes," Energy Policy, Elsevier, vol. 118(C), pages 325-345.
  59. Fang, Aili, 2021. "The influence of communication structure on opinion dynamics in social networks with multiple true states," Applied Mathematics and Computation, Elsevier, vol. 406(C).
  60. David Muller & Vladimir Shikhman, 2021. "Network manipulation algorithm based on inexact alternating minimization," Papers 2107.03754, arXiv.org, revised Jul 2021.
  61. Enrique Urbano Arellano & Xinyang Wang, 2023. "Social Learning of General Rules," Papers 2310.15861, arXiv.org.
  62. Leila Niamir & Gregor Kiesewetter & Fabian Wagner & Wolfgang Schöpp & Tatiana Filatova & Alexey Voinov & Hans Bressers, 2020. "Assessing the macroeconomic impacts of individual behavioral changes on carbon emissions," Climatic Change, Springer, vol. 158(2), pages 141-160, January.
  63. Schanne, Norbert, 2012. "The formation of experts' expectations on labour markets : do they run with the pack?," IAB-Discussion Paper 201225, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  64. Meng, Fanyuan & Zhu, Jiadong & Yao, Yuheng & Fenoaltea, Enrico Maria & Xie, Yubo & Yang, Pingle & Liu, Run-Ran & Zhang, Jianlin, 2023. "Disagreement and fragmentation in growing groups," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
  65. Médéric Motte & Huyên Pham, 2021. "Optimal bidding strategies for digital advertising," Working Papers hal-03429785, HAL.
  66. Mehrdad Agha Mohammad Ali Kermani & Reza Ghesmati & Masoud Jalayer, 2018. "Opinion-Aware Influence Maximization: How To Maximize A Favorite Opinion In A Social Network?," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-27, September.
  67. Tabasso, Nicole, 2019. "Diffusion of multiple information: On information resilience and the power of segregation," Games and Economic Behavior, Elsevier, vol. 118(C), pages 219-240.
  68. Catherine A. Glass & David H. Glass, 2021. "Social Influence of Competing Groups and Leaders in Opinion Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 799-823, October.
  69. Benny Geys & Salmai Qari, 2017. "Will you still trust me tomorrow? The causal effect of terrorism on social trust," Public Choice, Springer, vol. 173(3), pages 289-305, December.
  70. M'ed'eric Motte & Huy^en Pham, 2021. "Optimal bidding strategies for digital advertising," Papers 2111.08311, arXiv.org.
  71. Fu, Guiyuan & Zhang, Weidong & Li, Zhijun, 2015. "Opinion dynamics of modified Hegselmann–Krause model in a group-based population with heterogeneous bounded confidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 558-565.
  72. Petter Törnberg & Claes Andersson & Kristian Lindgren & Sven Banisch, 2021. "Modeling the emergence of affective polarization in the social media society," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-17, October.
  73. Goldbaum David, 2019. "Conformity and Influence," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 19(1), pages 1-29, January.
  74. 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.
  75. Cui, Peng-Bi, 2023. "Exploring the foundation of social diversity and coherence with a novel attraction–repulsion model framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
  76. 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.
  77. Huang, Changwei & Dai, Qionglin & Han, Wenchen & Feng, Yuee & Cheng, Hongyan & Li, Haihong, 2018. "Effects of heterogeneous convergence rate on consensus in opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 428-435.
  78. 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.
  79. Simone Cerreia-Vioglio & Roberto Corrao & Giacomo Lanzani, 2020. "Robust Opinion Aggregation and its Dynamics," Working Papers 662, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  80. Grunenberg, Michael & Henning, Christian H. C. A., 2019. "Communicational and lobbying power in German farm animal welfare politics," Working Papers of Agricultural Policy WP2019-01, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
  81. Xuanpeng Yin & Xuanhua Xu & Xiaohong Chen, 2020. "Risk mechanisms of large group emergency decision-making based on multi-agent simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1009-1034, August.
  82. Edgar J. Sánchez Carrera & Elena Gubar & Andrey F. Oleynik, 2019. "Network Structures and Poverty Traps," Dynamic Games and Applications, Springer, vol. 9(1), pages 236-253, March.
  83. Azzimonti, Marina & Fernandes, Marcos, 2023. "Social media networks, fake news, and polarization," European Journal of Political Economy, Elsevier, vol. 76(C).
  84. Grunenberg, Michael, 2018. "Von Sinn und Unsinn der Alternativen zur betäubungslosen Ferkelkastration: Kommunikationseffekte in der deutschen Nutztierpolitik am Beispiel einer aktuellen Debatte," Working Papers of Agricultural Policy WP2018-01, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
  85. Li-Xin Wang, 2016. "Modeling Stock Price Dynamics with Fuzzy Opinion Networks," Papers 1602.06213, arXiv.org.
  86. 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.
  87. Jérôme Mathis & Marcello Puca & Simone M. Sepe, 2021. "Deliberative Institutions and Optimality," CSEF Working Papers 614, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 09 Jun 2021.
  88. Kara Layne Johnson & Jennifer L. Walsh & Yuri A. Amirkhanian & Nicole Bohme Carnegie, 2021. "Performance of a Genetic Algorithm for Estimating DeGroot Opinion Diffusion Model Parameters for Health Behavior Interventions," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
  89. 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.
  90. Kareeva, Yulia & Sedakov, Artem & Zhen, Mengke, 2023. "Influence in social networks with stubborn agents: From competition to bargaining," Applied Mathematics and Computation, Elsevier, vol. 444(C).
  91. Michalis Smyrnakis & Dario Bauso & Tembine Hamidou, 2019. "An evolutionary game perspective on quantised consensus in opinion dynamics," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-17, January.
  92. Dario Bauso & Raffaele Pesenti & Marco Tolotti, 2016. "Opinion Dynamics and Stubbornness Via Multi-Population Mean-Field Games," Journal of Optimization Theory and Applications, Springer, vol. 170(1), pages 266-293, July.
  93. 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.
  94. Henning, Christian H. C. A., 2015. "Modeling and evaluation of political processes: A new quantitative approach," Working Papers of Agricultural Policy WP2015-01, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
  95. Emilien Macault, 2022. "Stochastic Consensus and the Shadow of Doubt," Papers 2201.12100, arXiv.org.
  96. Marcos Fernandes, 2019. "Confirmation Bias in Social Networks," Department of Economics Working Papers 19-05, Stony Brook University, Department of Economics.
  97. Marcos R. Fernandes, 2022. "Confirmation Bias in Social Networks," Papers 2207.12594, arXiv.org, revised Feb 2023.
  98. Víctor M Eguíluz & Naoki Masuda & Juan Fernández-Gracia, 2015. "Bayesian Decision Making in Human Collectives with Binary Choices," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-14, April.
  99. 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.
  100. 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.
  101. Phillip J. Monin & Richard Bookstaber, 2021. "Information flows and crashes in dynamic social networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 471-495, July.
  102. Ling Zhang & Manman Luo & Robert J. Boncella, 2020. "Product information diffusion in a social network," Electronic Commerce Research, Springer, vol. 20(1), pages 3-19, March.
  103. Shyam Gouri Suresh & Scott Jeffrey, 2017. "The Consequences of Social Pressures on Partisan Opinion Dynamics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(2), pages 242-259, March.
  104. Tomasz Makarewicz, 2017. "Contrarian Behavior, Information Networks and Heterogeneous Expectations in an Asset Pricing Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 231-279, August.
  105. Wang, Pengyu & Fang, Debin & Wang, Shuyi, 2022. "Optimal dynamic regulation in retail electricity market with consumer feedback and social learning," Energy Policy, Elsevier, vol. 168(C).
  106. Si, Xia-Meng & Wang, Wen-Dong & Zhai, Chun-Qing & Ma, Yan, 2017. "A topic evolution model with sentiment and selective attention," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 480-491.
  107. Walid Ben-Ameur & Adam Ouorou & Guanglei Wang & Mateusz Żotkiewicz, 2018. "Multipolar robust optimization," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 6(4), pages 395-434, December.
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