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Identifying opinion leaders in the blogosphere

Identifying opinion leaders in the blogosphere Identifying Opinion Leaders in the Blogosphere Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng NEC Laboratories America, 10080 N. Wolfe Road, SW3-350, Cupertino, CA 95014, USA {xiaodan, ychi, hino, belle}@sv.nec-labs.com ABSTRACT Opinion leaders are those who bring in new information, ideas, and opinions, then disseminate them down to the masses, and thus influence the opinions and decisions of others by a fashion of word of mouth. Opinion leaders capture the most representative opinions in the social network, and consequently are important for understanding the massive and complex blogosphere. In this paper, we propose a novel algorithm called InfluenceRank to identify opinion leaders in the blogosphere. The InfluenceRank algorithm ranks blogs according to not only how important they are as compared to other blogs, but also how novel the information they can contribute to the network. Experimental results indicate that our proposed algorithm is effective in identifying influential opinion leaders. through the Internet [4-7]. Among them, [4, 5] attempt to model influence among consumers and understand how the influence propagates in the networks. Recently, Song et al. studied the asymmetric inter-personal influence between opinion leaders and the masses, and proposed an asymmetric recommendation algorithm to improve the recommendation http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Identifying opinion leaders in the blogosphere

Association for Computing Machinery — Nov 6, 2007

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References (18)

Datasource
Association for Computing Machinery
Copyright
Copyright © 2007 by ACM Inc.
ISBN
978-1-59593-803-9
doi
10.1145/1321440.1321588
Publisher site
See Article on Publisher Site

Abstract

Identifying Opinion Leaders in the Blogosphere Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng NEC Laboratories America, 10080 N. Wolfe Road, SW3-350, Cupertino, CA 95014, USA {xiaodan, ychi, hino, belle}@sv.nec-labs.com ABSTRACT Opinion leaders are those who bring in new information, ideas, and opinions, then disseminate them down to the masses, and thus influence the opinions and decisions of others by a fashion of word of mouth. Opinion leaders capture the most representative opinions in the social network, and consequently are important for understanding the massive and complex blogosphere. In this paper, we propose a novel algorithm called InfluenceRank to identify opinion leaders in the blogosphere. The InfluenceRank algorithm ranks blogs according to not only how important they are as compared to other blogs, but also how novel the information they can contribute to the network. Experimental results indicate that our proposed algorithm is effective in identifying influential opinion leaders. through the Internet [4-7]. Among them, [4, 5] attempt to model influence among consumers and understand how the influence propagates in the networks. Recently, Song et al. studied the asymmetric inter-personal influence between opinion leaders and the masses, and proposed an asymmetric recommendation algorithm to improve the recommendation

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