SYSTEMS AND METHODS FOR PREDICTING MEME VIRALITY BASED ON NETWORK STRUCTURE
    1.
    发明申请
    SYSTEMS AND METHODS FOR PREDICTING MEME VIRALITY BASED ON NETWORK STRUCTURE 审中-公开
    基于网络结构预测成员病毒的系统和方法

    公开(公告)号:US20160042284A1

    公开(公告)日:2016-02-11

    申请号:US14775403

    申请日:2014-03-12

    CPC classification number: G06N5/04 G06Q30/0202 G06Q50/01

    Abstract: Systems and methods for predicting virality of a content item are disclosed. A method includes: receiving a social network structure; identifying communities within the social network structure, where communities are identified as dense subnetworks in the social network structure; receiving social network content that includes one or more content items; and identifying one or more content items that are predicted to become viral based on utilization of the content items between different communities in the social network structure.

    Abstract translation: 公开了用于预测内容项的病毒的系统和方法。 一种方法包括:接收社交网络结构; 识别社会网络结构中的社区,社区被确定为社交网络结构中的密集子网络; 接收包括一个或多个内容项的社交网络内容; 以及基于所述社交网络结构中不同社区之间的内容项目的利用来识别被预测为病毒的一个或多个内容项目。

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