公开(公告)号：US08204988B2

公开(公告)日：2012-06-19

申请号：US12552812

申请日：2009-09-02

申请人： Ching-Yung Lin ,  Spyridon Papadimitrion ,  Jimeng Sun ,  Kun-Lung Wu

发明人： Ching-Yung Lin ,  Spyridon Papadimitrion ,  Jimeng Sun ,  Kun-Lung Wu

IPC分类号： G06F15/173

CPC分类号： G06K9/00677 ,  G06K9/6224 ,  G06Q30/02

摘要： System and method for modeling a content-based network. The method includes finding single mode clusters from among network (sender and recipient) and content dimensions represented as a tensor data structure. The method allows for derivation of useful cross-mode clusters (interpretable patterns) that reveal key relationships among user communities and keyword concepts for presentation to users in a meaningful and intuitive way. Additionally, the derivation of useful cross-mode clusters is facilitated by constructing a reduced low-dimensional representation of the content-based network. Moreover, the invention may be enhanced for modeling and analyzing the time evolution of social communication networks and the content related to such networks. To this end, a set of non-overlapping or possibly overlapping time-based windows is constructed and the analysis performed at each successive time interval.

摘要翻译： 用于建模基于内容的网络的系统和方法。 该方法包括从网络（发送者和接收者）和表示为张量数据结构的内容维度中找到单一模式集群。 该方法允许推导出有用的交叉模式集群（可解释模式），其显示用户社区之间的关键关系和关键字概念，以有意义和直观的方式呈现给用户。 另外，通过构建基于内容的网络的减少的低维表示来促进有用的交叉模式集群的推导。 此外，本发明可以被增强用于建模和分析社交通信网络的时间演进和与这样的网络有关的内容。 为此，构建一组不重叠或可能重叠的基于时间的窗口，并且在每个连续的时间间隔执行分析。