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GSTF Journal on Computing (JoC)
Article . 2016 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Social Multimedia Networks Behaviour Model & Architecture

Authors: L. K. Pulasthi Dhananjaya Gunawardhana; Sellappan Palaniappan;

Social Multimedia Networks Behaviour Model & Architecture

Abstract

AbstractPeople constantly use social multimedia networks to communicate with one another, with users mostly sharing data, such as photos and videos. We examine the motivations that drive colluders to form alliances over social networking platforms and determine how these groups create coalitions to advance their interests. We also investigate the network architectures that underlie social multimedia networks and how these platforms circulate. Such architectures are connected to different protocols, including WebID, Semantic Pingback and PubSubHubbub, to form a logical semantic circulating social multimedia network that delivers a centralised social network structure.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid