Understanding information propagation on online social tagging systems: a case study on flickr

Authors:
Meinu Quan;Xuan Hau Pham;Jason J. Jung;Dosam Hwang
Affiliations:
Department of Computer Engineering, Yeungnam University, Dae-Dong, Gyeongsan, Korea;Department of Computer Engineering, Yeungnam University, Dae-Dong, Gyeongsan, Korea;Department of Computer Engineering, Yeungnam University, Dae-Dong, Gyeongsan, Korea;Department of Computer Engineering, Yeungnam University, Dae-Dong, Gyeongsan, Korea
Venue:
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Year:
2012

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Abstract

Social media have been one of the most popular online communication channels to share information among users. It means the users can give (and take) cognitive influence to (and from) the others. Thus, it is important for many applications to understand how the information can be propagated. In this paper, we focus on social tagging systems where users can easily exchange tags with each other. To conduct experimentation, a tag search system has been implemented to collect a dataset from Flickr.