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Research on Information Propagation Method Based on Individual User Characteristics

机译:基于个体用户特征的信息传播方法研究

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摘要

At present, the research of information dissemination model based on social platform mainly focuses on the influence of social network structure and information content on information dissemination, but it is not comprehensive enough for user characteristics. And all users use the same prediction model, which will lead to the prediction results of different users will appear homogeneity. This paper focuses on the microblogging forwarding will be affected by what the individual characteristics, and then uses each user's history data to generate an independent prediction model for each user. For users with insufficient historical information data, this paper proposes a scheme to predict microblogging forwarding behavior by neighboring friends.
机译:目前,基于社交平台的信息传播模型的研究主要侧重于社会网络结构和信息内容对信息传播的影响,但这对用户特征不够全面。所有用户都使用相同的预测模型,这将导致不同用户的预测结果将出现同质性。本文侧重于微博转发将受到各个特征的影响,然后使用每个用户的历史数据来为每个用户生成独立预测模型。对于历史信息不足的用户来说,本文提出了一种通过邻近朋友预测微博转发行为的方案。

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