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Modeling Contagion of Behavior in Friendship Networks as Coordination Games

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Advances in Social Simulation 2015

Abstract

It has been shown that humans are heavily influenced by peers when it comes to choice of behavior, norms, or opinions. In order to better understand and help to predict society’s behavior, it is therefore desirable to design social simulations that incorporate representations of those network aspects. We address this topic, by investigating the performance of a coordination game mechanism in representing the diffusion of behavior for distinct data sets and diverse behaviors in children and adolescent social networks. We introduce a set of quality measurements in order to assess the adequacy of our simulations and find evidence that a coordination game environment could underlie some of the diffusion processes, while other processes may not be modeled coherently as a coordination game.

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References

  1. Christakis, N.A., Fowler, J.H.: Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives. Little, Brown, New York (2009)

    Google Scholar 

  2. Easley, D., Kleinberg, J.: Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press, Cambridge (2010)

    Book  MATH  Google Scholar 

  3. Lelarge, M.: Diffusion and cascading behavior in random networks. Games Econ. Beh. 75 (2), 752–775 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  4. Latane, B.: The psychology of social impact. Am. Psychol. 36 (4), 343 (1981)

    Article  Google Scholar 

  5. Christakis, N.A., Fowler, J.H.: The spread of obesity in a large social network over 32 years. N. Engl. J. Med. 357 (4), 370–379 (2007)

    Article  Google Scholar 

  6. Jordan, J.J., Rand, D.G., Arbesman, S., Fowler, J.H., Christakis, N.A.: Contagion of cooperation in static and fluid social networks. PloS One 8 (6), e66199 (2013)

    Article  Google Scholar 

  7. Kramer, A.D., Guillory, J.E., Hancock, J.T.: Experimental evidence of massive-scale emotional contagion through social networks. Proc. Natl. Acad. Sci. 111 (24), 8788–8790 (2014)

    Article  Google Scholar 

  8. Brakefield, T.A., Mednick, S.C., Wilson, H.W., De Neve, J.-E., Christakis, N.A., Fowler, J.H.: Same-sex sexual attraction does not spread in adolescent social networks. Arch. Sex. Behav. 43 (2), 335–344 (2014)

    Article  Google Scholar 

  9. Marques, E.: Redes sociais, segregação e pobreza. Editora Unesp (2010)

    Google Scholar 

  10. Kratzer, J., Lettl, C.: Distinctive roles of lead users and opinion leaders in the social networks of school children. J. Consum. Res. 36 (4), 646–659 (2009)

    Article  Google Scholar 

  11. Paluck, E.L., Shepherd, H.: The salience of social referents: a field experiment on collective norms and harassment behavior in a school social network. J. Pers. Soc. Psychol. 103 (6), 899 (2012)

    Article  Google Scholar 

  12. Friedkin, N.E.: A Structural Theory of Social Influence, vol. 13. Cambridge University Press, Cambridge (2006)

    Google Scholar 

  13. Granovetter, M.: Threshold models of collective behavior. Am. J. Sociol. 83, 1420–1443 (1978)

    Article  Google Scholar 

  14. Granovetter, M., Soong, R.: Threshold models of interpersonal effects in consumer demand. J. Econ. Behav. Organ. 7 (1), 83–99 (1986)

    Article  Google Scholar 

  15. Schelling, T.C.: Dynamic models of segregation. J. Math. Sociol. 1 (2), 143–186 (1971)

    Article  MATH  Google Scholar 

  16. Coordenação de Estudos Econômicos e Populacionais, Fundação Joaquim Nabuco Fundaj. Determinantes do desempenho escolar na rede de ensino fundamental do Recife (2013)

    Google Scholar 

  17. Michell, L., Amos, A.: Teenage friends and lifestyle study dataset (1997)

    Google Scholar 

  18. Fawcett, T.: An introduction to ROC analysis. Pattern Recogn. Lett. 27 (8), 861–874 (2006)

    Article  MathSciNet  Google Scholar 

  19. Youden, W.J.: Index for rating diagnostic tests. Cancer 3 (1), 32–35 (1950)

    Article  Google Scholar 

  20. Richards, W.D., Rice, R.E.: The NEGOPY network analysis program. Soc. Networks 3 (3), 215–223 (1981)

    Article  Google Scholar 

  21. Todd, P.M., Gigerenzer, G.: Bounding rationality to the world. J. Econ. Psychol. 24 (2), 143–165 (2003)

    Article  Google Scholar 

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Acknowledgements

This research was partially funded by Andrea von Braun Stiftung. The authors thank Fundação Joaquim Nabuco for providing data and domain expertise.

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Correspondence to Tobias Jordan .

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Jordan, T., de Wilde, P., de Lima-Neto, F.B. (2017). Modeling Contagion of Behavior in Friendship Networks as Coordination Games. In: Jager, W., Verbrugge, R., Flache, A., de Roo, G., Hoogduin, L., Hemelrijk, C. (eds) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing, vol 528. Springer, Cham. https://doi.org/10.1007/978-3-319-47253-9_15

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  • DOI: https://doi.org/10.1007/978-3-319-47253-9_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47252-2

  • Online ISBN: 978-3-319-47253-9

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