A qualitative method to find influencers using similarity-based approach in the blogosphere. Issue 1 (11th November 2011)

• Record Type: Journal Article
• Authors: Moon, Eunyoung; Han, Sangki
• Is Part Of: International journal of social computing and cyber-physical systems. Volume 1:Issue 1(2011)
• Page Start: 56
• Page End: 78
• Publication Date: 2011-11-11
• Subjects: influencer -- popularity -- homophily -- blogosphere; Computers -- Social aspects -- Periodicals; Information technology -- Social aspects -- Periodicals; Computer systems -- Periodicals; Social networks -- Periodicals; 303.4834
• Languages: English
• ISSNs: 2040-0721

Abstract

With huge popularity, blogosphere has become a significant channel of information propagation. Accordingly, internet users search for information in the blogosphere and read blog posts before making decision and/or buying brand-new products. Although current blog systems rank 'A-List' bloggers, they are not necessarily influential. To differentiate influential bloggers from popular bloggers, we present important groundwork for identifying influential bloggers by weighting readers based on homophily and vulnerability with bloggers. We develop the quantifying influence model (QIM), which attempts to measure the influence score of bloggers. QIM is composed of two components: To evaluate QIM, we conduct experiments with empirical data from the Naver blog, the largest blog service in Korea. Our study shows that weighting blog social ties can differentiate influential bloggers from popular bloggers, and what make bloggers influential or popular.