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Research on Information Dissemination Based on Propensity Index

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Abstract

This paper analyses the characteristics and laws of information dissemination in social networks, proposes a propensity index based on the propensity of individuals in the network to spread information about events, and studies the influence of the propensity index on information spreading. This study is based on a scale-free network and takes the SI model as the base model and improves it. The experimental results show that the propagation process and infection density of information is affected by the propensity index, and the stronger the individual’s propensity for information spreading, the larger the propensity index owned, which promotes the propagation of information. Moreover, the information spreading model based on propensity index is more in line with the reality of information spreading.

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Acknowledgements

This research is supported by the National Natural Science Foundation of China (No.61863025),Program for International S & T Cooperation Projects of Gansu province (No.144WCGA166), Program for Longyuan Young Innovation Talents and the Doctoral Foundation of LUT.

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  1. School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China

    Fuzhong Nian & Zhugao Feng

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  1. Fuzhong Nian
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Correspondence to Fuzhong Nian.

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Nian, F., Feng, Z. Research on Information Dissemination Based on Propensity Index. Wireless Pers Commun 133, 1449–1465 (2023). https://doi.org/10.1007/s11277-023-10820-7

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