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1. 武警工程大学电子技术系,陕西 西安 710086
2. 中国人民武装警察部队河北总队,河北 石家庄 050000
Online First:2017-09,
Published:15 September 2017
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De-yang ZHANG, Yi-liang HAN, Xiao-long LI, et al. Threshold model for hot events spreading based on relative impact weight of the user[J]. Chinese Journal of Network and Information Security, 2017, 3(9): 24-30.
De-yang ZHANG, Yi-liang HAN, Xiao-long LI, et al. Threshold model for hot events spreading based on relative impact weight of the user[J]. Chinese Journal of Network and Information Security, 2017, 3(9): 24-30. DOI: 10.11959/j.issn.2096-109x.2017.00195.
结合现有的线性阈值模型,提出一种新的用户相对影响权重函数;结合信息自身敏感性以及节点自身的接受阈值特性,提出一种能衡量信息传播能力的阈值模型,即URLT模型。通过仿真实验模拟在不同网络、不同敏感度信息以及不同节点阈值的传播,并对最终传播情况进行对比,实验结果证明,其最终影响范围与真实传播情况符合。因此,该模型对信息传播规律的发现与抑制有一定的参考价值。
A new relative influence weight function was proposed in combination with the existing linear threshold model.Combining with the information itself sensitivity and the threshold characteristic of the node itself
a threshold model(URLT model) was proposed
which can measure the information communication ability.By simulating the spread of different networks
different sensitivity information and different node thresholds
and 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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