Abstract
Social multimedia contributes significantly to the arrival of the Big Data era. The distribution of social multimedia content and users’ social multimedia activities among various social media networks motivate us to investigate social multimedia computing under the cross-network circumstances. We interpret cross-network as the “variety” of social multimedia: the heterogeneous data in various social media networks. In this chapter, basic tasks of user-centric social multimedia computing are extended under the cross-network circumstances, by exploiting the overlapped users among social media networks.
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Notes
- 1.
Please refer details to “Anderson Analytics 2009 report: what your favorite social network says about you?”.
- 2.
A personal web hosting service that offers people a one-page profile to link multiple user accounts from popular social media networks.
- 3.
1M = 1 million.
- 4.
Social knowledge indicates a typical pattern in users’ social relation or social activity data, e.g., the SNS patterns in Facebook, the video watching patterns in YouTube, and the consuming patterns in Amazon
- 5.
YouTube has started to let video content providers be partners to cash in on the videos posted by sharing ad revenue and charging rental fees to viewers.
- 6.
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Sang, J. (2014). Cross-Network Social Multimedia Computing. In: User-centric Social Multimedia Computing. Springer Theses. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44671-3_5
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DOI: https://doi.org/10.1007/978-3-662-44671-3_5
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