论文标题

缓解错误信息传播在区块链上启用社交媒体网络

Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks

论文作者

Luo, Rui, Krishnamurthy, Vikram, Blasch, Erik

论文摘要

该论文为社交媒体网络(BE-SMN)开发了一个区块链协议,以减轻错误信息的传播。 BE-SMN是根据信息传输时间分配得出的,通过将错误信息传输建模为对区块链的双重攻击。然后将错误信息分布纳入SIR(易感,传染性或恢复)模型中,该模型替换了传统SIR模型中的单一速率参数。然后,在多社区网络上,我们从数字上研究了错误信息的传播,并表明所提出的区块链使社交媒体网络的表现优于基线网络,从而使受感染人群的曲线变平。

The paper develops a blockchain protocol for a social media network (BE-SMN) to mitigate the spread of misinformation. BE-SMN is derived based on the information transmission-time distribution by modeling the misinformation transmission as double-spend attacks on blockchain. The misinformation distribution is then incorporated into the SIR (Susceptible, Infectious, or Recovered) model, which substitutes the single rate parameter in the traditional SIR model. Then, on a multi-community network, we study the propagation of misinformation numerically and show that the proposed blockchain enabled social media network outperforms the baseline network in flattening the curve of the infected population.

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