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TRAIT-BASED EARLY DETECTION OF INFLUENCERS ON SOCIAL MEDIA

机译:基于特质的社交媒体影响力早期检测

摘要

A method and system for early detection of social media influencers which can use a communications system. A current influencer is selected from a plurality of users communicating on a social network, wherein the current influencer is based on a selection criteria. A database is generated from data of each of the users and the database includes traits of the current influencer. A predictive model is generated using the database. The predictive model includes a scoring method which includes comparing the traits of the current influencer with traits of the plurality of users gathered from the data. The data is analyzed to predict a future influencer of the plurality of users using the predictive model. A predicted future influencer is selected from the plurality of users, using the analysis.
机译:一种可以及早使用社交系统的社交媒体影响者的方法和系统。从在社交网络上通信的多个用户中选择当前影响者,其中,当前影响者基于选择标准。从每个用户的数据生成数据库,并且该数据库包括当前影响者的特征。使用数据库生成预测模型。预测模型包括一种评分方法,该评分方法包括将当前影响者的特征与从数据中收集的多个用户的特征进行比较。使用预测模型对数据进行分析,以预测多个用户的未来影响者。使用该分析从多个用户中选择预测的未来影响者。

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