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中文摘要：
为了研究微博传播机制,提出一种基于溯源的虚假信息传播控制方法,根据微博转发关系和主题相关性得到级联集合,并结合用户关系网和信息级联关系网确定微博信息的真正发起者。通过文本情感分析和信息级联关系迭代计算节点的影响力指数和从众指数,提取微博信息早期重要参与者。综合发起者和早期重要参与者确定信息源头并进行评估。通过删除优质源头节点和全局高影响力节点来控制虚假信息的传播。在新浪微博数据集上通过实验验证了基于所有溯源节点的虚假信息控制策略效果最优。
英文摘要：
To study the Weibo transmission mechanism, this paper provides a false information spread control method based on source tracing. The cascade sets were built on the basis of the retweeting of a Weibo and its topical rele-vance, and real initiators were identified by the user relationship and information cascade networks. The influence and conformity indices of every node were then iteratively calculated according to text sentiment analysis, and the informa-tion cascades and important early participants were extracted. The real initiators and early participants were combined to ascertain the information source and then evaluated by an experiment. The source tracing nodes and the global high influence nodes were deleted to control the spread of false information. Experimental results verify that the proposed false information control strategy for all source tracing nodes has an optimal effect in a real Sina Weibo dataset.
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