Graph Based Content Delivery in Mobile Social Networks
Jintian Li, Qifan Qi, Qichao Xu, Zhou Su · 2016
Due to the rapid increase of mobile user population and the dynamical change of network topology in mobile social networks (MSNs), how to efficiently deliver content among mobile social users becomes a new challenge. In this paper, an incentive content delivery mechanism based on the weighted directed graph is proposed to encourage users to obtain and provide content in the MSNs. Specifically, firstly we introduce a weighted directed graph to study the features of obtaining and providing content among mobile social users. Secondly, based on the social features including the average closeness and vertex betweenness, we present the sealed-bid auction based incentive mechanism to overcome selfish behavior and efficiently deliver content in the MSNs. Finally, with a real dataset numerical experiments are carried out to prove that the proposal can accurately show the properties of the MSNs and can be efficient for content delivery.