@article {
	title = {Joint Optimization for Social Content Dissemination in Wireless Networks},
	author = {Weng, Xiangnan., Baras, John S.},
	year = {2016},
	month = {09/2016},
	abstract = {Over the last decade, success of social networks has significantly reshaped how information is~disseminated among users in terms of scale, intensity and speed. Much effort, both academic and~industrial, has been dedicated to learning the patterns of content dissemination to further facilitate ~it.~However, as users become dominantly mobile in this process, little is done to consider the impact of the~wireless environment, in particular, how to optimize the system in the presence of capacity shortage to~better disseminate the contents. In this paper, we investigate how the wireless transmission delays degrade~the performance of the content dissemination and propose a novel method to mitigate it. Results indicate~that predictions of dissemination at social layer (even coarse ones) benefit the social dissemination, by~improving scheduling performance at wireless layer. This in turn improves the accuracy of the predictions~with user feedback. We also demonstrate that the system performance is greatly improved by introducing~bias towards active user requests.},
	journal = {IEEE JSAC Special Issue on Human-In-The-Loop Mobile Networks}
}
