Abstract
Social networks have changed the way how people communicate with each other dramatically. The study on information dissemination in social networks has attracted considerable attention. Many evidences show that emotionsof netizens are likely to spread with information and the emotional contagion also affect information dissemination in social networks. In this paper, we propose a cognitive emotional contagion model (CECM) which combines the model of individual characteristics, the topology of a social network, and the changing process as well as evolution of emotion contagion. Distinguished from conventional epidemiology-based models, our CECM model not only considers the changes of individuals’ emotional statuses but also the influence of individuals to others during the information dissemination in a social network. Specifically, CECM first models an individual’s emotions as emotional attributes and emotional statuses. Using Emotional statuses, we define the process of an individual’s emotional change, which could be affected by one’s emotional attributes (e.g. personality). CECM also models the network-wise features of an individual, including one’s authority and the connection strength to one’s neighbors in a social network. Finally, given emotional models and network-wise features of all users in a social network, a series of transition probabilities among the user’s emotional status are defined to model the emotional evolution. A series of simulations is conducted to observe the characteristics of the proposed model. The results demonstrate that the proposed model can reflect the real-world situation of emotional contagion for different distributions of personality factors.
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Notes
In general, the ’friend’ relationship is stronger than ’following’. Moreover, a ’friend’ relationship can be viewed as bi-directional ’following’. Therefore, the value of ω1 is usually set to be twice of ω2.
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Hung, CC., Gao, X., Liu, Z. et al. CECM: A cognitive emotional contagion model in social networks. Multimed Tools Appl 83, 1001–1023 (2024). https://doi.org/10.1007/s11042-023-15394-x
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DOI: https://doi.org/10.1007/s11042-023-15394-x