Efficient service discovery in decentralized online social networks.
Journal article
Yuan, Bo, Liu, Lu and Antonopoulos, Nikolaos 2017. Efficient service discovery in decentralized online social networks. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.04.022
| Authors | Yuan, Bo, Liu, Lu and Antonopoulos, Nikolaos |
|---|---|
| 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. |
| Keywords | Service discovery; Social networks; Peer-to-peer networks; Swarm intelligence |
| Year | 2017 |
| Journal | Future Generation Computer Systems |
| Publisher | Elsevier |
| ISSN | 0167739X |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.future.2017.04.022 |
| Web address (URL) | http://hdl.handle.net/10545/622072 |
| hdl:10545/622072 | |
| Publication dates | 19 May 2017 |
| Publication process dates | |
| Deposited | 22 Jan 2018, 15:44 |
| Contributors | Tongji University and University of Derby |
| File | File Access Level Open |
| File |
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