Loading [a11y]/accessibility-menu.js
Identifying online opinion leaders using K-means clustering | IEEE Conference Publication | IEEE Xplore

Identifying online opinion leaders using K-means clustering


Abstract:

Online opinion leaders play an important role in the dissemination of information in discussion forums. They are a high-priority target group for viral marketing campaign...Show More

Abstract:

Online opinion leaders play an important role in the dissemination of information in discussion forums. They are a high-priority target group for viral marketing campaigns. On an average, an opinion leader will tell about his or her experience with a product or company to 14 other people. It is important to identify such opinion leaders from data derived from online activity of users. We present an approach to identification of opinion leaders using the K-means clustering algorithm. This approach does not require knowledge of the user's opinions or membership in other forums.
Date of Conference: 27-29 November 2012
Date Added to IEEE Xplore: 24 January 2013
ISBN Information:

ISSN Information:

Conference Location: Kochi, India

References

References is not available for this document.