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作 者:熊建英[1] XIONG Jian-ying(Department of Security Technology,Jiangxi Police Institute,Beijing 100192,China)
机构地区:[1]江西警察学院安全技术系,江西南昌330003
出 处:《情报科学》2021年第1期41-47,共7页Information Science
基 金:教育部人文社科青年基金项目“基于信任与内容风险感知的社交媒体传播治理研究”(20YJC860032);江西省高校人文社会科学规划项目“基于用户信任的社交网谣言抑制研究(GL18121)”。
摘 要:【目的/意义】为有效约束社交网中隐含风险的信息传播,研究一种基于信誉的信息行为动态管理机制。【方法/过程】通过节点身份认证与历史行为计算节点信誉值,利用敏感词的风险权值计算内容的风险指数后并进行风险类型分级,综合节点源信誉与内容风险指数提出一种基于社交网节点信誉授权的信息传播控制模型(RBDC)约束不同类型信息转发权限。【结果/结论】仿真结果表明,相比无限制的信息传播情景,对内容风险与用户信誉进行细粒度的分类与并构建转发权限映射关系,可以显著限制高风险信息传播速度与传播范围。【创新/局限】在保障社交网用户属性数据真实与敏感词风险词表有效维护的情况下,通过多源数据融合构建的RBDC信誉授权传播抑制模型可以实现信息传播动态调整机制,抑制风险信息传播,也有利于促进网络节点的自律。【Purpose/significance】In order to effectively restrict the dangerous information dissemination in social networks,a dynamic information behavior management mechanism based on reputation is proposed.【Method/process】The study calculated the reputation of node by its identity authentication and historical behavior;and classified the risk types after calculating the risk index of content through the risk weight value of sensitive words.Finally,the information dissemination control model based on reputation(RBDC)is proposed,which is an authority rule according to comprehensive reputation and content risk index.【Result/conclusion】The simulation results show that compared with the unrestricted information dissemination scenarios,the forwarding permission mapping relationship,which is based on the fine-grained classification of content risk and user reputation,can significantly limit the propagation speed and scope of high-risk information.【Innovation/limitation】The reputation authorization propagation inhibition model needs to be operated under the condition of ensuring the authenticity of social network user attribute data and the effective maintenance of sensitive word risk vocabulary.The RBDC model can realize the dynamic adjustment mechanism of information dissemination,inhibit risk information dissemination,and promote the self-discipline of network nodes.
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