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作 者:李欣欣 汤金川 LI Xinxin;TANG Jinchuan(State Key Laboratory of Public Big Data,Guizhou University,Guiyang 550025,China;College of Computer Science and Technology,Guizhou University,Guiyang 550025,China)
机构地区:[1]贵州大学公共大数据国家重点实验室,贵州贵阳550025 [2]贵州大学计算机科学与技术学院,贵州贵阳550025
出 处:《软件工程》2025年第2期61-66,共6页Software Engineering
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。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.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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