Efficient service discovery in decentralized online social networks.
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Abstract
Online social networks (OSN) have attracted millions of users worldwide over the last decade. There are a series of urgent issues faced by existing OSN such as information overload, single-point of failure and privacy concerns. The booming Internet of Things (IoT) and Cloud Computing provide paradigms for the development of decentralized OSN. In this paper, we build a self-organized decentralized OSN (SDOSN) on the overlay network of an IoT infrastructure resembling real life social graph. A user model based on homophily features is proposed considering social relationships and user interests and focuses on the key OSN functionality of efficient information dissemination. A swarm intelligence search method is also proposed to facilitate adaptive forwarding and effective service discovery. Our evaluation, performed in simulation using real-world datasets, shows that our approach achieves better performance when compared with the state-of-the-art methods in a dynamic network environment.Citation
Yuan, B. et al (2017) 'Efficient service discovery in decentralized online social networks.', Future Generation Computer Systems, DOI: 10.1016/j.future.2017.04.022Publisher
ElsevierJournal
Future Generation Computer SystemsDOI
10.1016/j.future.2017.04.022Additional Links
https://www.sciencedirect.com/science/article/pii/S0167739X17306465Type
ArticleLanguage
enISSN
0167739Xae974a485f413a2113503eed53cd6c53
10.1016/j.future.2017.04.022