Abstract
This study describes the use of adaptive temporal-causal networks to model and simulate the development of mutually interacting opinion states and connections between individuals in social networks. The focus is on adaptive networks combining the homophily principle with the more becomes more principle. The model has been used to analyse a data set concerning opinions about the use of alcohol and tobacco, and friendship relations. The achieved results provide insights in the potential of the approach.
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References
Carrington, P.J., Scott, J., Wasserman, S. (eds.): Models and Methods in Social Network Analysis. Cambridge University Press, Cambridge (2003)
Wasserman, S., Galaskiewicz, J.: Advances in Social Network Analysis: Research in the Social and Behavioral Sciences. Sage, London (1994)
Pugacheva, E.: Social network modelling. Interdiscip. Stud. Complex Syst. 6, 49–62 (2015)
McGloin, J.M., Sullivan, C.J., Thomas, K.J.: Peer influence and context: the interdependence of friendship groups, schoolmates and network density in predicting substance use. J. Youth Adolesc. 43(9), 1436–1452 (2014)
Urberg, K.A., Değirmencioğlu, S.M., Pilgrim, C.: Close friend and group influence on adolescent cigarette smoking and alcohol use. Dev. Psychol. 33, 834–844 (1997)
Ennett, S.T., Bauman, K.E., Hussong, A., Faris, R., Foshee, V.A., Cai, L., DuRant, R.H.: The peer context of adolescent substance use: findings from social network analysis. J. Res. Adolesc. 16(2), 159–186 (2006)
Mundt, M.P.: The impact of peer social networks on adolescent alcohol use initiation. Acad. Pediatr. 11(5), 414–421 (2011)
Osgood, D.W., Ragan, D.T., Wallace, L., Gest, S.D., Feinberg, M.E., Moody, J.: Peers and the emergence of alcohol use: influence and selection processes in adolescent friendship networks. J. Res. Adolesc. 23(3), 500–512 (2013)
McPherson, M., Smith-Lovin, L., Cook, J.M.: Birds of a feather: homophily. Annu. Rev. Sociol. 27, 415–444 (2001)
Treur, J.: Network-Oriented Modeling: Addressing Complexity of Cognitive, Affective and Social Interactions. Springer, Berlin (2016)
Blankendaal, R., Parinussa, S., Treur, J.: A temporal-causal modelling approach to integrated contagion and network change in social networks. In: Proceedings of the 22nd European Conference on Artificial Intelligence, ECAI 2016. IOS Press (2016)
Glasgow Data: https://www.stats.ox.ac.uk/~snijders/siena/Glasgow_data.htm
Nunes, D., Antunes, L.: Modelling structured societies: a multi-relational approach to context permeability. Artif. Intell. 229, 175–199 (2015)
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van den Beukel, S., Goos, S.H., Treur, J. (2018). Understanding Homophily and More-Becomes-More Through Adaptive Temporal-Causal Network Models. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_2
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DOI: https://doi.org/10.1007/978-3-319-61578-3_2
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