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Finding the top influential bloggers based on productivity and popularity features
New Review of Hypermedia and Multimedia ( IF 1.4 ) Pub Date : 2016-10-04 , DOI: 10.1080/13614568.2016.1236151
Hikmat Ullah Khan 1, 2 , Ali Daud 2
Affiliation  

ABSTRACT A blog acts as a platform of virtual communication to share comments or views about products, events and social issues. Like other social web activities, blogging actions spread to a large number of people. Users influence others in many ways, such as buying a product, having a particular political or social opinion or initiating new activity. Finding the top influential bloggers is an active research domain as it helps us in various fields, such as online marketing, e-commerce, product search and e-advertisements. There exist various models to find the influential bloggers, but they consider limited features using non-modular approach. This paper proposes a new model, Popularity and Productivity Model (PPM), based on a modular approach to find the top influential bloggers. It consists of popularity and productivity modules which exploit various features. We discuss the role of each proposed and existing features and evaluate the proposed model against the standard baseline models using datasets from the real-world blogs. The analysis using standard performance evaluation measures verifies that both productivity and popularity modules play a vital role to find influential bloggers in blogging community in an effective manner.

中文翻译:

根据生产力和人气特征寻找最有影响力的博主

摘要 博客充当虚拟交流平台,分享有关产品、事件和社会问题的评论或观点。像其他社交网络活动一样,博客活动传播给了大量的人。用户以多种方式影响他人,例如购买产品、拥有特定的政治或社会观点或发起新活动。寻找最有影响力的博主是一个活跃的研究领域,因为它可以在各个领域帮助我们,例如在线营销、电子商务、产品搜索和电子广告。有各种模型可以找到有影响力的博主,但他们使用非模块化方法考虑了有限的特征。本文提出了一种新的模型,流行度和生产力模型 (PPM),基于模块化方法来寻找最有影响力的博主。它由利用各种功能的流行度和生产力模块组成。我们讨论了每个提议的和现有的特征的作用,并使用来自现实世界博客的数据集根据标准基线模型评估提议的模型。使用标准绩效评估措施的分析验证了生产力和流行度模块在以有效的方式在博客社区中寻找有影响力的博主方面发挥着至关重要的作用。
更新日期:2016-10-04
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