Abstract
Authorized content is a type of content that can be generated only by a certain Content Provider (CP). The content copies delivered to a user may bring rewards to the CP if the content is adopted by the user. The overall reward obtained by the CP depends on the user's degree of interest in the content and the user's role in disseminating the content copies. Thus, to maximize the reward, the content provider is 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 Social Connection Pattern (SCP) data to handle the challenging opportunistic connections in IOSNs and statistically analyze the interest distribution of the users contacted or connected. The SCP is used to predict the interests of possible contactors and connectors. Then, we propose our SCP-based Dissemination (SCPD) algorithm to calculate the optimum 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.
Highlights
An Opportunistic Social Network (OSN) enables users to leverage short-range communication technologies such as Wi-Fi[1], Near Field Communication (NFC)[2] and 5G[3], to form an on-the-fly social network
Our dataset based simulation shows that our SCP-based Dissemination (SCPD) algorithm is effective and efficient to disseminate the authorized content in interest-centric OSNs
This indicates that the SCPD algorithm is able to identify the critical forwarders who can efficiently help disseminate the content to the interested users
Summary
An Opportunistic Social Network (OSN) enables users to leverage short-range communication technologies such as Wi-Fi[1], Near Field Communication (NFC)[2] and 5G[3], to form an on-the-fly social network. No previous study has explored the pattern and regulation of users’ communication to develop efficient dissemination schemes for authorized content in opportunistic networks. We propose the Social Connection Pattern (SCP) to analyze the communication and interest distribution data from users in IOSNs. The Social Connection Pattern based Dissemination (SCPD) algorithm is developed to identify the optimized content dissemination strategies when users meet. Our dataset based simulation shows that our SCPD algorithm is effective and efficient to disseminate the authorized content in interest-centric OSNs. The major contributions of our approach are as follows. By predicting the possible interests of future connectors, our social connection pattern based dissemination algorithm innovatively and efficiently helps users to calculate the number of content copies to be disseminated so that the total reward is maximized.
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