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Understanding Information Propagation on Online Social Tagging Systems: A Case Study on Flickr

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Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7197))

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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.

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© 2012 Springer-Verlag Berlin Heidelberg

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Quan, M., Pham, X.H., Jung, J.J., Hwang, D. (2012). Understanding Information Propagation on Online Social Tagging Systems: A Case Study on Flickr. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28490-8_18

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  • DOI: https://doi.org/10.1007/978-3-642-28490-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28489-2

  • Online ISBN: 978-3-642-28490-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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