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MIIB: A Metric to Identify Top Influential Bloggers in a Community

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  • Hikmat Ullah Khan
  • Ali Daud
  • Tahir Afzal Malik

Abstract

Social networking has revolutionized the use of conventional web and has converted World Wide Web into the social web as users can generate their own content. This change has been possible due to social web platforms like forums, wikis, and blogs. Blogs are more commonly being used as a form of virtual communication to express an opinion about an event, product or experience and can reach a large audience. Users can influence others to buy a product, have certain political or social views, etc. Therefore, identifying the most influential bloggers has become very significant as this can help us in the fields of commerce, advertisement and product knowledge searching. Existing approaches consider some basic features, but lack to consider some other features like the importance of the blog on which the post has been created. This paper presents a new metric, MIIB (Metric for Identification of Influential Bloggers), based on various features of bloggers’ productivity and popularity. Productivity refers to bloggers’ blogging activity and popularity measures bloggers’ influence in the blogging community. The novel module of BlogRank depicts the importance of blog sites where bloggers create their posts. The MIIB has been evaluated against the standard model and existing metrics for finding the influential bloggers using dataset from the real-world blogosphere. The obtained results confirm that the MIIB is able to find the most influential bloggers in a more effective manner.

Suggested Citation

  • Hikmat Ullah Khan & Ali Daud & Tahir Afzal Malik, 2015. "MIIB: A Metric to Identify Top Influential Bloggers in a Community," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-15, September.
  • Handle: RePEc:plo:pone00:0138359
    DOI: 10.1371/journal.pone.0138359
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    Cited by:

    1. Xiao Fan Liu & Yu-Liang Liu & Xin-Hang Lu & Qi-Xuan Wang & Tong-Xing Wang, 2016. "The Anatomy of the Global Football Player Transfer Network: Club Functionalities versus Network Properties," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-14, June.

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