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Research on information dissemination model based on heat transfer in online social network

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Abstract

At present, the information dissemination model based on the structure modeling of online social network can no longer simulate the increasingly complex information dissemination process. Therefore, a heat transfer (HT) information dissemination model based on heat transfer idea is proposed in this paper. Firstly, based on the physical characteristics of heat transfer due to temperature difference between objects, the model introduces the temperature value attribute of nodes and defines the dissemination node and observer node. Secondly, the nodes in the online social network were described as heat receivers and dispersers. The diffusion heat and the receiving heat process of information dissemination were defined, and a two-stage greedy diffusion (TGD) algorithm based on HT model was proposed for information dissemination in online social network. Finally, the HT model is verified by experiments in real data sets. The experimental results show that the HT model proposed has high accuracy in the process of information dissemination of social networks of different scales and has great advantages in the prediction of dissemination trend and node variation trend.

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Data availability

Metadata for model testing is available through the networkrepository.(rt-pot can be found at: https://networkrepository.com/rt-pol.php and rt-bahrain can be found at: https://networkrepository.com/rt-bahrain.php) Derived data supporting the findings of this study are available from the corresponding author on request.

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Funding

The project was supported by the National Natural Science Foundation of China (Grant Nos.: 62172352, 61871465) and The Science and Technology Research Project of Higher Education of Hebei Province (Grant Nos.: ZD2019004).

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Authors and Affiliations

  1. School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, Hebei, China

    Chen Jing, Huang Jincheng & Xin Chen

  2. Hebei Key Laboratory of Virtual Technology and System Integration, Yanshan University, Qinhuangdao, 066004, Hebei, China

    Xin Chen

  3. Hebei Key Laboratory of Software Engineering, Yanshan University, Qinhuangdao, 066004, Hebei, China

    Xin Chen

  4. College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang, 524088, Guangdong, China

    Chen Jing & Liu Mingxin

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  1. Chen Jing
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Correspondence to Xin Chen or Liu Mingxin.

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Jing, C., Jincheng, H., Chen, X. et al. Research on information dissemination model based on heat transfer in online social network. J Supercomput 79, 7717–7735 (2023). https://doi.org/10.1007/s11227-022-04968-5

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  • DOI: https://doi.org/10.1007/s11227-022-04968-5

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