Abstract
Considering the existence of competition in the process of social network communication, and the change of sensitivity in the process of communication, this paper proposes a new relative influence weight function that combining with the existing linear threshold model, the sensitivity of information, and the threshold characteristic of the node, namely, URLT model. Which can measure the information communication ability. By simulating the spread of different networks, different sensitivity information and different node thresholds, comparing the final propagation situation, the experimental results show that the final influence range is consistent with the real spread situation. Therefore, the model has some reference value for the discovery and suppression of the law of information dissemination.
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Acknowledgement
This work is supported by the National Cryptography Development Fund of China Under Grants No. MMJJ20170112, National Key Research and Development Program of China Under Grants No. 2017YFB0802000, National Nature Science Foundation of China (Grant Nos. 61772550, U1636114), the Natural Science Basic Research Plan in Shaanxi Province of china (Grant Nos. 2016JQ6037) and Guangxi Key Laboratory of Cryptography and Information Security (No. GCIS201610).
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Zhang, D., Wang, X.A., Li, X., Xu, C. (2018). Threshold Model Based on Relative Influence Weight of User. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_39
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DOI: https://doi.org/10.1007/978-3-319-75928-9_39
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