Efficient virtual social media for location based services over mobile peer-to-peer networks

Abstract

Background/Objectives: Recently, there have been done studies on contents sharing and searching among mobile devices on social media. Methods/Statistical analysis: However, the previous social media are not suitable for mobile peer-to-peer networks due to the high cost of graph management and the low data search success rate. In order to alleviate such problems, an efficient virtual social media for location based services over the mobile peer-to-peer networks is proposed. Findings: We generally build social relationships by considering similarities between different nodes. The similarities are measured by computing the common interests and the recent positions. In order to reduce the graph management overhead, each peer only manages the peers that have common interests and nearby to it. This reduces graph management overhead and improves navigation performance. Improvements/Applications: In order to demonstrate the excellence of the virtual social media, the proposed method is compared with conventional techniques in a variety of environments in terms of the retrieval success rate.