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

Khan HU, Daud A, Malik TA - PLoS ONE (2015)

Bottom Line: 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.The novel module of BlogRank depicts the importance of blog sites where bloggers create their posts.The obtained results confirm that the MIIB is able to find the most influential bloggers in a more effective manner.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan.

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.

No MeSH data available.


Related in: MedlinePlus

Module-wise Comparative Analysis.
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pone.0138359.g002: Module-wise Comparative Analysis.

Mentions: The Fig 2 shows that comparison of results of the modules of the MIIB in finding the top influential bloggers in the blogosphere. The analysis reveals that overall ranking of bloggers in each module is consistent and no main divergence in top positions is found. MIIB is exactly in line with BlogRank and absolutely no difference is visible which supports our assumption that top influential bloggers post at top blogs. The popularity is another measure of direct influence and the top results of the MIIB are similar as results produced by module popularity. The only difference between the MIIB and the productivity module is visible, which again proves our point that merely initiating more number of posts is not the true measure of influence and is inaccurately given extra importance in existing models. The module-wise comparative results presented in line chart given in Fig 3.


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

Khan HU, Daud A, Malik TA - PLoS ONE (2015)

Module-wise Comparative Analysis.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4587377&req=5

pone.0138359.g002: Module-wise Comparative Analysis.
Mentions: The Fig 2 shows that comparison of results of the modules of the MIIB in finding the top influential bloggers in the blogosphere. The analysis reveals that overall ranking of bloggers in each module is consistent and no main divergence in top positions is found. MIIB is exactly in line with BlogRank and absolutely no difference is visible which supports our assumption that top influential bloggers post at top blogs. The popularity is another measure of direct influence and the top results of the MIIB are similar as results produced by module popularity. The only difference between the MIIB and the productivity module is visible, which again proves our point that merely initiating more number of posts is not the true measure of influence and is inaccurately given extra importance in existing models. The module-wise comparative results presented in line chart given in Fig 3.

Bottom Line: 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.The novel module of BlogRank depicts the importance of blog sites where bloggers create their posts.The obtained results confirm that the MIIB is able to find the most influential bloggers in a more effective manner.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan.

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.

No MeSH data available.


Related in: MedlinePlus