| 摘 要: 针对社交网络中的隐私信息传播问题,改进了传统的信息传播模型,提出了基于信任的社区信息传播控制方案。首先,引入社区结构和信息敏感度两个特征,以更准确地模拟信息传播过程。其次,采用基于信任的真相传播机制,有效地控制了谣言的扩散。仿真实验结果表明,相较于传统模型,社区传播模型达到传播峰值的平均速度提高了31%,更好地模拟了信息传播过程。同时,基于信任的社区谣言控制方案在平均35轮内有效地控制了谣言的传播。此改进对于保护用户隐私和维护社交网络秩序具有重要意义。 |
| 关键词: 社交网络;信息传播;信任;谣言控制 |
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中图分类号: TP391
文献标识码: A
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| Trust-based Community Rumor Dissemination Model Control Schemein Online Social Networks |
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L I Xinxin1,2, TANG Jinchuan1,2
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(1.State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China;
2.College of Computer Science and Technology, Guizhou University, Guiyang 550025, China)
gs.xxli21@gzu.edu.cn; jctang@gzu.edu.cn
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| Abstract: in social networks, this paper proposes a trust-based community information dissemination control scheme by improving traditional information dissemination models. Firstly, community structure and information sensitivity are introduced as features to more accurately simulate the information dissemination process. Secondly, a trust-based truth dissemination mechanism is employed to effectively control the spread of rumors. Simulation results demonstrate that, compared to traditional models, the community dissemination model shows an average increase of 31% in the speed of reaching peak dissemination, thus better simulating the information dissemination process. Additionally, the trust-based community rumor control scheme effectively controls the spread of rumors within an average of 35 rounds. This improvement is significant for protecting user privacy and maintaining order in social networks. |
| Keywords: social networks; information dissemination; trust; rumor control |
