Information vs Interaction: An Alternative User Ranking Model for Social Networks

Xie, W, Hoang, P, Zhu, F and Lim, E 2013, 'Information vs Interaction: An Alternative User Ranking Model for Social Networks', in Proceedings of the 5th International Conference on Social Informatics (SocInfo 2013), Kyoto, Japan, 25-27 November 2013, pp. 227-240.


Document type: Conference Paper
Collection: Conference Papers

Title Information vs Interaction: An Alternative User Ranking Model for Social Networks
Author(s) Xie, W
Hoang, P
Zhu, F
Lim, E
Year 2013
Conference name SocInfo 2013
Conference location Kyoto, Japan
Conference dates 25-27 November 2013
Proceedings title Proceedings of the 5th International Conference on Social Informatics (SocInfo 2013)
Publisher Springer International Publishing
Place of publication Switzerland
Start page 227
End page 240
Total pages 14
Abstract The recent years have seen an unprecedented boom of social network services, such as Twitter, which boasts over 200 million users. In such big social platforms, the influential users are ideal targets for viral marketing to potentially reach an audience of maximal size. Most proposed algorithms use the linkage structure of the underlying network to measure the information flow and hence evaluate a users influence. Yet that is not the full story for social networks. In this paper, we propose to examine users' influence from a social interaction perspective. We built a ranking model based on the dynamic user interactions taking place on top of these underlying linkage structures. In particular, in the Twitter setting we supposed a principle of balanced retweet reciprocity, and then formulated it to re-evaluate the value of Twitter users. Our experiments on real Twitter data demonstrated that our proposed model presents different yet equally insightful user ranking results.
Subjects Marketing Management (incl. Strategy and Customer Relations)
Information Systems Management
Consumer-Oriented Product or Service Development
Keyword(s) Twitter
user ranking
retweet behaviour
DOI - identifier 10.1007/978-3-319-03260-3_20
Copyright notice © Springer International Publishing Switzerland 2013
ISBN 9783319032597
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