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Identifying communities within a social network based on information propagation data

机译:根据信息传播数据识别社交网络中的社区

摘要

Methods and systems for identifying communities based on information propagation data are described. One of the methods includes receiving a social graph, which includes nodes and relationships between the nodes. The method further includes receiving a number of the communities to find within the social graph, receiving data regarding propagation of information between the nodes, and calculating a probability of formation of a link between a first one of the nodes and a second one of the nodes based on the data. The link provides a direction of flow of media between the first and second nodes. The method includes calculating a probability that media will be accessed by the second node based on the data. One of the communities includes the first node, the second node, and the link.
机译:描述了基于信息传播数据识别社区的方法和系统。方法之一包括接收社交图,该社交图包括节点和节点之间的关系。该方法还包括:接收多个社区以在社交图中找到该社区;接收关于节点之间的信息传播的数据;以及计算在节点中的第一个与节点中的第二个之间形成链接的概率。根据数据。链接提供了第一节点和第二节点之间的媒体流向。该方法包括基于数据计算第二节点将访问媒体的概率。社区之一包括第一节点,第二节点和链接。

著录项

  • 公开/公告号US9342854B2

    专利类型

  • 公开/公告日2016-05-17

    原文格式PDF

  • 申请/专利权人 YAHOO! INC.;

    申请/专利号US201313889866

  • 申请日2013-05-08

  • 分类号G06F17/30;G06Q50/00;

  • 国家 US

  • 入库时间 2022-08-21 14:31:42

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