12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China

Research Article

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

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  • @INPROCEEDINGS{10.4108/eai.29-6-2019.2282013,
        author={tingting  wang and min  hu and lan  kou},
        title={A Information Propagation Model Based on Various Emotions and Heterogeneous Mean Field in Social Networks },
        proceedings={12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2019},
        month={6},
        keywords={information propagation emotions connected relationships social networks},
        doi={10.4108/eai.29-6-2019.2282013}
    }
    
  • tingting wang
    min hu
    lan kou
    Year: 2019
    A Information Propagation Model Based on Various Emotions and Heterogeneous Mean Field in Social Networks
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.29-6-2019.2282013
tingting wang1, min hu1,*, lan kou1
  • 1: School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications
*Contact email: humin@cqupt.edu.cn

Abstract

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 propagtion 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 analyzed and verified by experiments. In general, this paper focuses on the impacts of various emotions and different connections on information propagation.