Using Interest Graphs to Predict Rich-Media Diffusion in Content-Based Online Social Networks
Abstract
Rich-media, pictures, and videos, are becoming an increasingly important aspect of online social networks. Unlike social networks, where users are connected primarily because of being friends, peers, or co-workers, content-based networks build connections between individuals founded on a shared interest in rich-media content. In this study, “interest-graphs” comprised of these content-based connections were examined. As shown, interest graph...
Paper Details
Title
Using Interest Graphs to Predict Rich-Media Diffusion in Content-Based Online Social Networks
Published Date
Apr 28, 2015
Volume
32
Issue
3
Pages
210 - 219
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