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Finding influential users of web event in socialmedia

机译:在社交媒体中寻找有影响力的网络事件用户

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Users of social media have different influences on the evolution of aWeb event. Finding influential users could benefit such information services as recommendation and market analysis.However, most of the existing methods are only based on social networks of users or user behaviors while the roleof thecontents contributedbyusers insocial media is ignored. In fact, aWebevent evolves with both user behaviors and the contents. This paper proposes an approach to find influential users by extracting user behavior network and association network of wordswithin the contents and then uses PageRank algorithm and HITS algorithm to calculate the influence of users on the integration of two networks. The proposed approach is effective on several real-world datasets.
机译:社交媒体的用户对aWeb事件的演变有不同的影响。寻找有影响力的用户可能会受益于推荐和市场分析等信息服务。但是,大多数现有方法仅基于用户的社交网络或用户行为,而忽略了用户在社交媒体中贡献的内容的作用。实际上,aWebevent随用户行为和内容一起发展。提出了一种在内容中提取用户行为网络和单词联想网络,然后利用PageRank算法和HITS算法计算用户对两个网络融合的影响的方法,以找到有影响力的用户。所提出的方法在几个真实世界的数据集上是有效的。

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