Disseminating Authorized Content in Interest-Centric Opportunistic Social Networks

Abstract

The authorized content is the content which can only be generated by the content provider (CP). The content copies delivered to a user may bring some reward to the CP if the content is adopted by the user. The overall reward obtained by the CP depends on how much the user is interested in the content and how the user may help disseminate the content copies. Hence, to maximize the reward obtained, the content provider are motivated to disseminate the authorized content to the most interested users. In this paper, we study how to effectively disseminate the authorized content in interest-centric opportunistic social networks (IOSNs) such that the reward is maximized. We first derive the Social Connection Pattern (SCP) to statistically describe the interest distribution of the users contacted or connected. The SCP is used to predict the interests of possible contactors and connectors. We then propose our Social Connection Pattern based Dissemination algorithm (SCPD) to calculate the best number of content copies to disseminate when two users meet. Our dataset based simulation shows that our SCPD algorithm is effective and efficient to disseminate the authorized content in IOSNs