Influencers Selection Model Using Association Rules

Hilda Alnayef, Munaisyah Abdullah, Mohammad Faizuddin Md Noor
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Abstract

Since social media users are on the rise, influential users play a crucial role in online social networks. As a result, social media influencers can be an effective marketing tool for brands. This study proposes a model for evaluating the associations between social media influencers based on association rules. In this paper, we propose an association rules model using FP growth algorithm (Frequent Pattern growth algorithm) to detect relationships between influential users and help bands to best select multiple influencers for their marketing campaigns.
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使用关联规则的影响者选择模型
随着社交媒体用户的增加,有影响力的用户在在线社交网络中扮演着至关重要的角色。因此,社交媒体影响者可以成为品牌的有效营销工具。本研究提出了一个基于关联规则的社交媒体影响者之间关联评估模型。在本文中,我们提出了一个使用FP增长算法(频繁模式增长算法)的关联规则模型来检测有影响力的用户之间的关系,并帮助乐队最好地选择多个有影响力的人进行营销活动。
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