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Modeling influence and opinion evolution in online collective behavior

Bibliographic reference Vande Kerckhove, Corentin ; Martin, Samuel ; Gend, Pascal ; Rentfrow, Peter J. ; Hendrickx, Julien ; et. al. Modeling influence and opinion evolution in online collective behavior. In: PLoS One, Vol. 11, no.6 (June 2016)
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  1. Centola D., The Spread of Behavior in an Online Social Network Experiment, 10.1126/science.1185231
  2. Aral S., Walker D., Identifying Influential and Susceptible Members of Social Networks, 10.1126/science.1215842
  3. Salganik M. J., Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market, 10.1126/science.1121066
  4. Lorenz J., Rauhut H., Schweitzer F., Helbing D., How social influence can undermine the wisdom of crowd effect, 10.1073/pnas.1008636108
  5. Moussaïd Mehdi, Kämmer Juliane E., Analytis Pantelis P., Neth Hansjörg, Social Influence and the Collective Dynamics of Opinion Formation, 10.1371/journal.pone.0078433
  6. Chacoma Andrés, Zanette Damián H., Opinion Formation by Social Influence: From Experiments to Modeling, 10.1371/journal.pone.0140406
  7. Mavrodiev Pavlin, Tessone Claudio J., Schweitzer Frank, Quantifying the effects of social influence, 10.1038/srep01360
  8. Hastie Reid, Penrod Steven D., Pennington Nancy, Inside the Jury : , ISBN:9780674865945, 10.4159/harvard.9780674865945
  9. Horowitz Irwin A., ForsterLee Lynne, Brolly Ian, Effects of trial complexity on decision making., 10.1037/0021-9010.81.6.757
  10. Hinsz Verlin B., Indahl Kristin E., Assimilation to Anchors for Damage Awards in a Mock Civil Trial1, 10.1111/j.1559-1816.1995.tb02386.x
  11. Fischer Ilan, Harvey Nigel, Combining forecasts: What information do judges need to outperform the simple average?, 10.1016/s0169-2070(98)00073-9
  12. Harvey Nigel, Harries Clare, Fischer Ilan, Using Advice and Assessing Its Quality, 10.1006/obhd.1999.2874
  13. Schrah Gunnar E., Dalal Reeshad S., Sniezek Janet A., No decision-maker is an Island: integrating expert advice with information acquisition, 10.1002/bdm.514
  14. Sniezek Janet A., Schrah Gunnar E., Dalal Reeshad S., Improving judgement with prepaid expert advice, 10.1002/bdm.468
  15. Budescu David V., Rantilla Adrian K., Confidence in aggregation of expert opinions, 10.1016/s0001-6918(00)00037-8
  16. Budescu David V, Rantilla Adrian K, Yu Hsiu-Ting, Karelitz Tzur M, The effects of asymmetry among advisors on the aggregation of their opinions, 10.1016/s0749-5978(02)00516-2
  17. Harvey Nigel, Fischer Ilan, Taking Advice: Accepting Help, Improving Judgment, and Sharing Responsibility, 10.1006/obhd.1997.2697
  18. Harries Clare, Yaniv Ilan, Harvey Nigel, Combining advice: the weight of a dissenting opinion in the consensus, 10.1002/bdm.474
  19. Yaniv Ilan, The Benefit of Additional Opinions, 10.1111/j.0963-7214.2004.00278.x
  20. Yaniv Ilan, Receiving other people’s advice: Influence and benefit, 10.1016/j.obhdp.2003.08.002
  21. Gino Francesca, Do we listen to advice just because we paid for it? The impact of advice cost on its use, 10.1016/j.obhdp.2008.03.001
  22. Yaniv Ilan, Milyavsky Maxim, Using advice from multiple sources to revise and improve judgments, 10.1016/j.obhdp.2006.05.006
  23. Bonaccio Silvia, Dalal Reeshad S., Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences, 10.1016/j.obhdp.2006.07.001
  24. Yaniv Ilan, Kleinberger Eli, Advice Taking in Decision Making: Egocentric Discounting and Reputation Formation, 10.1006/obhd.2000.2909
  25. JB Soll, Journal of Experimental Psychology: Learning, Memory, and Cognition, 35, 780 (2009)
  26. Feng Bo, MacGeorge Erina L., Predicting Receptiveness to Advice: Characteristics of the Problem, the Advice-Giver, and the Recipient, 10.1080/10417940500503548
  27. See Kelly E., Morrison Elizabeth W., Rothman Naomi B., Soll Jack B., The detrimental effects of power on confidence, advice taking, and accuracy, 10.1016/j.obhdp.2011.07.006
  28. Gino Francesca, Schweitzer Maurice E., Blinded by anger or feeling the love: How emotions influence advice taking., 10.1037/0021-9010.93.5.1165
  29. Mannes Albert E., Are We Wise About the Wisdom of Crowds? The Use of Group Judgments in Belief Revision, 10.1287/mnsc.1090.1031
  30. Azen Razia, Budescu David V., The dominance analysis approach for comparing predictors in multiple regression., 10.1037/1082-989x.8.2.129
  31. Pope Devin G., Reacting to rankings: Evidence from “America's Best Hospitals”, 10.1016/j.jhealeco.2009.08.006
  32. Dellarocas Chrysanthos, The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms, 10.1287/mnsc.49.10.1407.17308
  33. Bessi Alessandro, Coletto Mauro, Davidescu George Alexandru, Scala Antonio, Caldarelli Guido, Quattrociocchi Walter, Science vs Conspiracy: Collective Narratives in the Age of Misinformation, 10.1371/journal.pone.0118093
  34. Steyvers Mark, Griffiths Thomas L., Dennis Simon, Probabilistic inference in human semantic memory, 10.1016/j.tics.2006.05.005
  35. Kersten Daniel, Yuille Alan, Bayesian models of object perception, 10.1016/s0959-4388(03)00042-4
  36. Ma Wei Ji, Beck Jeffrey M, Latham Peter E, Pouget Alexandre, Bayesian inference with probabilistic population codes, 10.1038/nn1790
  37. Vul Edward, Pashler Harold, Measuring the Crowd Within : Probabilistic Representations Within Individuals, 10.1111/j.1467-9280.2008.02136.x
  38. French John R. P., A formal theory of social power., 10.1037/h0046123
  39. Gosling Samuel D, Rentfrow Peter J, Swann William B, A very brief measure of the Big-Five personality domains, 10.1016/s0092-6566(03)00046-1
  40. F Galton, Nature, 75, 450 (1907)
  41. D Ariely, Journal of Experimental Psychology: Applied, 6, 130 (2000)
  42. Muchnik L., Aral S., Taylor S. J., Social Influence Bias: A Randomized Experiment, 10.1126/science.1240466
  43. Bond Robert M., Fariss Christopher J., Jones Jason J., Kramer Adam D. I., Marlow Cameron, Settle Jaime E., Fowler James H., A 61-million-person experiment in social influence and political mobilization, 10.1038/nature11421
  44. Christakis Nicholas A., Fowler James H., The Collective Dynamics of Smoking in a Large Social Network, 10.1056/nejmsa0706154
  45. Valente T. W., Network Interventions, 10.1126/science.1217330
  46. Liu Yang-Yu, Slotine Jean-Jacques, Barabási Albert-László, Controllability of complex networks, 10.1038/nature10011
  47. B Iglewicz, vol. 16 (1993)
  48. Olfati-Saber Reza, Fax J. Alex, Murray Richard M., Consensus and Cooperation in Networked Multi-Agent Systems, 10.1109/jproc.2006.887293
  49. Martin Samuel, Girard Antoine, Continuous-Time Consensus under Persistent Connectivity and Slow Divergence of Reciprocal Interaction Weights, 10.1137/11083438x
  50. Deffuant Guillaume, Neau David, Amblard Frederic, Weisbuch Gérard, Mixing beliefs among interacting agents, 10.1142/s0219525900000078
  51. R Hegselmann, Journal of Artificial Societies and Social Simulation, 5 (2002)
  52. Friedkin Noah E., Johnsen Eugene C., Social influence and opinions, 10.1080/0022250x.1990.9990069
  53. Dodds Peter Sheridan, Watts Duncan J., Universal Behavior in a Generalized Model of Contagion, 10.1103/physrevlett.92.218701
  54. Granovetter Mark, Threshold Models of Collective Behavior, 10.1086/226707
  55. Watts D. J., A simple model of global cascades on random networks, 10.1073/pnas.082090499
  57. Chowdhury, N, Morarescu, IC, Martin, S, Srikant, S. Continuous opinions and discrete actions in social networks: a multi-agent system approach. arXiv preprint arXiv:160202098. 2016;.
  58. Iñiguez Gerardo, Török János, Yasseri Taha, Kaski Kimmo, Kertész János, Modeling social dynamics in a collaborative environment, 10.1140/epjds/s13688-014-0007-z
  59. Török János, Iñiguez Gerardo, Yasseri Taha, San Miguel Maxi, Kaski Kimmo, Kertész János, Opinions, Conflicts, and Consensus: Modeling Social Dynamics in a Collaborative Environment, 10.1103/physrevlett.110.088701
  60. Bernardes A.T., Stauffer D., Kertész J., Election results and the Sznajd model on Barabasi network, 10.1140/e10051-002-0013-y
  62. Fortunato Santo, Castellano Claudio, Scaling and Universality in Proportional Elections, 10.1103/physrevlett.99.138701
  63. Aral S., Muchnik L., Sundararajan A., Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks, 10.1073/pnas.0908800106
  64. Shalizi Cosma Rohilla, Thomas Andrew C., Homophily and Contagion Are Generically Confounded in Observational Social Network Studies, 10.1177/0049124111404820
  65. CM Bishop, vol. 1 (2006)