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    Efficient service discovery in decentralized online social networks.

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    Liu_2017_Efficient_Service_Dis ...
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    Authors
    Yuan, Bo cc
    Liu, Lu cc
    Antonopoulos, Nikolaos
    Affiliation
    Tongji University
    University of Derby
    Issue Date
    2017-05-19
    
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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.2017.04.022
    Publisher
    Elsevier
    Journal
    Future Generation Computer Systems
    URI
    http://hdl.handle.net/10545/622072
    DOI
    10.1016/j.future.2017.04.022
    Additional Links
    https://www.sciencedirect.com/science/article/pii/S0167739X17306465
    Type
    Article
    Language
    en
    ISSN
    0167739X
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.future.2017.04.022
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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