社交网络突发事件的多维度评估方法

本发明提供种社交网络突发事件的多维度评估方法,包括:获取突发热词共现图;对所述突发热词共现图进行预设图聚类算法处理,得到各个聚类结果,每个聚类结果中包含的关键词节点构成个突发事件,所述关键词节点包括所述突发热词节点和所述共现词节点;分别计算每个突发事件中的各关键词节点的预设度量指标的值,根据所述预设度量指标的值确定所述每个突发事件的重要性度量值;根据所述每个突发事件的重要性度量值差异化呈现所述每个突发事件。根据反映了各突发事件不同重要程度的重要性度量值来确定各突发事件的差异化表现形式。通过该差异化表现,使得用户能够直观、明显便捷地获知当前社交网络中最为重要的事件。 The invention...

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Format Patent
LanguageChinese
Published 09.03.2018
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Summary:本发明提供种社交网络突发事件的多维度评估方法,包括:获取突发热词共现图;对所述突发热词共现图进行预设图聚类算法处理,得到各个聚类结果,每个聚类结果中包含的关键词节点构成个突发事件,所述关键词节点包括所述突发热词节点和所述共现词节点;分别计算每个突发事件中的各关键词节点的预设度量指标的值,根据所述预设度量指标的值确定所述每个突发事件的重要性度量值;根据所述每个突发事件的重要性度量值差异化呈现所述每个突发事件。根据反映了各突发事件不同重要程度的重要性度量值来确定各突发事件的差异化表现形式。通过该差异化表现,使得用户能够直观、明显便捷地获知当前社交网络中最为重要的事件。 The invention provides a multi-dimension assessment method for a social network emergency. The multi-dimension assessment method for the social network emergency comprises the steps that a burst hot word concurrence graph is obtained; preset graph clustering algorithm processing is conducted on the burst hot word concurrence graph, all clustering results are obtained, each clustering result comprises an emergency formed by key word nodes to form an emergency, and the key word nodes comprise burst hot word nodes and the concurrence words nodes; values of preset measure index of all key word nodes of each emergency are calculated respectively, and according to the values of preset measure index, importance metric value of each eme
Bibliography:Application Number: CN2015161737