In this paper we model the opinion dynamics in social groups in combination with adaptation of the connections based on a multicriteria homophily principle. The adaptive network model has been designed according to a Network-Oriented Modeling approach based on temporal-causal networks. The model has been applied to a dataset obtained from a popular social media platform – Instagram, using the official Instagram API. The network model has also been analysed mathematically, which provided evidence that the implemented model does what is expected.
CITATION STYLE
Kozyreva, O., Pechina, A., & Treur, J. (2018). Network-oriented modeling of multi-criteria homophily and opinion dynamics in social media. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11185 LNCS, pp. 322–335). Springer Verlag. https://doi.org/10.1007/978-3-030-01129-1_20
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