DocumentCode :
1809196
Title :
A Heuristic Algorithm for Trust-Oriented Service Provider Selection in Complex Social Networks
Author :
Liu, Guanfeng ; Wang, Yan ; Orgun, Mehmet A. ; Lim, Ee-Peng
Author_Institution :
Dept. of Comput., Macquarie Univ., North Ryde, NSW, Australia
fYear :
2010
fDate :
5-10 July 2010
Firstpage :
130
Lastpage :
137
Abstract :
In a service-oriented online social network consisting of service providers and consumers, a service consumer can search trustworthy service providers via the social network. This requires the evaluation of the trustworthiness of a service provider along a certain social trust path from the service consumer to the service provider. However, there are usually many social trust paths between participants in social networks. Thus, a challenging problem is which social trust path is the optimal one that can yield the most trustworthy evaluation result In this paper, we first present a novel complex social network structure and a new concept, Quality of Trust (QoT). We then model the optimal social trust path selection with multiple end-to-end QoT constraints as a Multi-Constrained Optimal Path (MCOP) selection problem which is NP-Complete. For solving this challenging problem, we propose an efficient heuristic algorithm, H_OSTP. The results of our experiments conducted on a large real dataset of online social networks illustrate that our proposed algorithm significantly outperforms existing approaches.
Keywords :
computational complexity; data privacy; optimisation; social networking (online); NP-complete problem; end-to-end QoT constraints; heuristic algorithm; multiconstrained optimal path selection problem; quality of trust concept; service consumer; service providers; service-oriented online social network; social trust paths; trust-oriented service provider selection; Approximation algorithms; Approximation methods; Attenuation; Heuristic algorithms; Motion pictures; Quality of service; Social network services; social network; trust; trust path;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing (SCC), 2010 IEEE International Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-8147-7
Electronic_ISBN :
978-0-7695-4126-6
Type :
conf
DOI :
10.1109/SCC.2010.47
Filename :
5557224
Link To Document :
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