A Information Propagation Model Based on Various Emotions and Heterogeneous Mean Field in Social Networks

Wang, Tingting and Hu, Min and Kou, lan (2019) A Information Propagation Model Based on Various Emotions and Heterogeneous Mean Field in Social Networks. In: Mobimedia 2019, 29-30 Oct 2019, Wehai, China.

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Information propagation in social networks can be effected by various factors, such as connected relationships, interactions between users, and so on. Previous studies mainly focused on analyzing the impact of physical connections on information propagation, and rarely studied the effects of different emotions on information propagation. Aiming to solve this problem, this paper proposes an emotion-based susceptible-infected-recovered information propagtion model(E-SIR). The model primarily researches the impacts of different emotions and diverse connections on the information propagation process. We introduced the emotional transmissibility and the information transmissibility to describe the infection abilities of different emotions and the possibility of information transmission between different users,respectively. In addition, the dynamic equations are established based on the heterogeneous mean field. The burst threshold and spreading scale are theoretically analysed and verified by experiments. In general, this paper focuses on the impacts of various emotions and different connections on information propagation.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: information propagation emotions connected relationships social networks
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor I.
Date Deposited: 10 Sep 2020 08:52
Last Modified: 10 Sep 2020 08:52
URI: https://eprints.eudl.eu/id/eprint/155

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