Identifying Influential Bloggers Time Does Matter

Blogs have recently become one of the most favored services on the Web. Many users maintain a blog and write posts to express their opinion, experience and knowledge about a product, an event and every subject of general or specific interest. More users visit blogs to read these posts and comment th...

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Published in:Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 Vol. 1; pp. 76 - 83
Main Authors: Akritidis, Leonidas, Katsaros, Dimitrios, Bozanis, Panayiotis
Format: Conference Proceeding
Language:English
Published: Washington, DC, USA IEEE Computer Society 15.09.2009
IEEE
Series:ACM Conferences
Subjects:
Blogosphere
Blogs
Character generation
Computing methodologies > Machine learning
Conferences
influential bloggers
Information services
Information systems > Information retrieval
Information systems > Information retrieval > Evaluation of retrieval results
Information systems > Information storage systems > Storage architectures > Storage network architectures
Information systems > Information systems applications > Data mining
Intelligent agent
Internet
Maintenance engineering
ranking
Voting
Web pages
Web sites
influential bloggers
Blogosphere
ranking
ISBN:0769538010, 9780769538013
Online Access:Get full text
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Abstract Blogs have recently become one of the most favored services on the Web. Many users maintain a blog and write posts to express their opinion, experience and knowledge about a product, an event and every subject of general or specific interest. More users visit blogs to read these posts and comment them. This “participatory journalism” of blogs has such an impact upon the masses that Keller and Berry argued that through blogging “one American in tens tells the other nine how to vote, where to eat and what to buy” [9]. Therefore, a significant issue is how to identify such influential bloggers. This problem is very new and the relevant literature lacks sophisticated solutions, but most importantly these solutions have not taken into account temporal aspects for identifying influential bloggers, even though the time is the most critical aspect of the Blogosphere. This article investigates the issue of identifying influential bloggers by proposing two easily computed blogger ranking methods, which incorporate temporal aspects of the blogging activity. Each method is based on a specific metric to score the blogger’s posts. The first metric, termed MEIBI, takes into consideration the number of the blog post’s inlinks and its comments, along with the publication date of the post. The second metric, MEIBIX, is used to score a blog post according to the number and age of the blog post’s inlinks and its comments. These methods are evaluated against the state-of-the-art influential blogger identification method utilizing data collected from a real-world community blog site. The obtained results attest that the new methods are able to better identify significant temporal patterns in the blogging behaviour
AbstractList Blogs have recently become one of the most favored services on the Web. Many users maintain a blog and write posts to express their opinion, experience and knowledge about a product, an event and every subject of general or specific interest. More users visit blogs to read these posts and comment them. This “participatory journalism” of blogs has such an impact upon the masses that Keller and Berry argued that through blogging “one American in tens tells the other nine how to vote, where to eat and what to buy” [9]. Therefore, a significant issue is how to identify such influential bloggers. This problem is very new and the relevant literature lacks sophisticated solutions, but most importantly these solutions have not taken into account temporal aspects for identifying influential bloggers, even though the time is the most critical aspect of the Blogosphere. This article investigates the issue of identifying influential bloggers by proposing two easily computed blogger ranking methods, which incorporate temporal aspects of the blogging activity. Each method is based on a specific metric to score the blogger’s posts. The first metric, termed MEIBI, takes into consideration the number of the blog post’s inlinks and its comments, along with the publication date of the post. The second metric, MEIBIX, is used to score a blog post according to the number and age of the blog post’s inlinks and its comments. These methods are evaluated against the state-of-the-art influential blogger identification method utilizing data collected from a real-world community blog site. The obtained results attest that the new methods are able to better identify significant temporal patterns in the blogging behaviour
Author Akritidis, Leonidas
Bozanis, Panayiotis
Katsaros, Dimitrios
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Blogosphere
ranking
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PublicationTitle Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
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Snippet Blogs have recently become one of the most favored services on the Web. Many users maintain a blog and write posts to express their opinion, experience and...
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StartPage 76
SubjectTerms Blogosphere
Blogs
Character generation
Computing methodologies -- Machine learning
Conferences
influential bloggers
Information services
Information systems -- Information retrieval
Information systems -- Information retrieval -- Evaluation of retrieval results
Information systems -- Information storage systems -- Storage architectures -- Storage network architectures
Information systems -- Information systems applications -- Data mining
Intelligent agent
Internet
Maintenance engineering
ranking
Voting
Web pages
Web sites
Subtitle Time Does Matter
Title Identifying Influential Bloggers
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