TY - GEN
T1 - Using the model of markets with intermediaries as an incentive scheme for opportunistic social networks
AU - Huangfu, Shenlong
AU - Guo, Bin
AU - Yu, Zhiwen
AU - Li, Dongsheng
PY - 2013
Y1 - 2013
N2 - The popularity of smart phones and other intelligent devices has made it possible for us to organize social activities by means of opportunistic social networks. However, message dissemination performance in opportunistic social networks is highly dependent on the cooperation between different users. In this paper, we put forward the model of markets with intermediaries as an incentive mechanism. In this model, users can overcome their selfishness in order to get profits, thus cooperation can be strengthened. Based on this incentive mechanism, we propose a broker selection algorithm: the Ranger Algorithm. Rangers are those users who not only have met with users in other communities for multiple times, but also have a high probability of meeting these users. Experiments are implemented using the MIT Reality Mining Dataset. Results show that the model of markets with intermediaries can serve as an incentive mechanism to stimulate collaboration, and Ranger Algorithm outperforms other baseline algorithms in improving message dissemination performance. On the basis of the above work, a prototype system is built to help organize offline social activities.
AB - The popularity of smart phones and other intelligent devices has made it possible for us to organize social activities by means of opportunistic social networks. However, message dissemination performance in opportunistic social networks is highly dependent on the cooperation between different users. In this paper, we put forward the model of markets with intermediaries as an incentive mechanism. In this model, users can overcome their selfishness in order to get profits, thus cooperation can be strengthened. Based on this incentive mechanism, we propose a broker selection algorithm: the Ranger Algorithm. Rangers are those users who not only have met with users in other communities for multiple times, but also have a high probability of meeting these users. Experiments are implemented using the MIT Reality Mining Dataset. Results show that the model of markets with intermediaries can serve as an incentive mechanism to stimulate collaboration, and Ranger Algorithm outperforms other baseline algorithms in improving message dissemination performance. On the basis of the above work, a prototype system is built to help organize offline social activities.
KW - Broker selection algorithm
KW - Incentive scheme
KW - Markets with intermediaries
KW - Opportunistic social networks
UR - http://www.scopus.com/inward/record.url?scp=84894202120&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC.2013.82
DO - 10.1109/UIC-ATC.2013.82
M3 - 会议稿件
AN - SCOPUS:84894202120
SN - 9781479924813
T3 - Proceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013
SP - 142
EP - 149
BT - Proceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013
T2 - 10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and 10th IEEE International Conference on Autonomic and Trusted Computing, ATC 2013
Y2 - 18 December 2013 through 21 December 2013
ER -