社交网络中虚假信息控制问题的研究
Research on Misinformation Containment Problem in Social Networks
随着互联网的快速发展,在社交网络中如何控制虚假信息的传播已经成为一个热点问题。传统的虚假信息控制问题主要考虑通过向网络中的部分节点传播真实信息,从而控制虚假信息的传播。文中考虑将传播真实信息和加边的方式相结合,提出了一个加边的虚假信息控制问题,并且证明了目标函数是次模的。文中给出了一个基于CELF的求解算法,该算法的近似比不超过 。将文中给出的算法和其他算法通过实验进行比较,实验结果证明了该算法具有更好的性能。
With the rapid development of the Internet, how to control the spread of misinformation in social networks has become a hot issue. The traditional misinformation containment problem aims to reduce the spread of misinformation by launching a set of nodes as real information seeds.Combines the spread of real information with the edge addition, a Misinformation Containment Problem with Edge Addition was proposed in this paper. We first proves that the objective function is submodular, then gives an algorithm based on CELF algorithm with approximate ratio no more than . The algorithm proposed in this paper is compared with other algorithms through experiments, and the results show that the algorithm has better performance.
宋新月、帅天平
计算技术、计算机技术
组合优化影响传播影响力最大化虚假信息控制
ombinatorial optimizationInformation diffusionInfluence maximizationMisinformation containment
宋新月,帅天平.社交网络中虚假信息控制问题的研究[EB/OL].(2022-03-15)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/202203-189.点此复制
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