实验室研究成果发表在IEEE Transactions on Network Science and Engineering

  • JH
  • 日期:2022-10-05
  • 1280

       该论文尝试研究多群组社交网络中虚假信息传播建模与控制问题。基于所设计的动态竞争传播模型,论文提出了意见最小化问题,将用户的意见转移用马尔可夫链来模拟,并设计了均衡意见最小化算法使虚假信息影响最小化。

       Y. Li, J. Zhu, J. Jiao and Q. Zhang, "Competitive Influence Minimization in Multi-Group Social Networks: An Opinion - Based Solution," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2022.3168042.