Abstract
In social networks, trust is a complex social relationship between entities. How to calculate the trust degree more accurately is an important research issue. This paper proposes a trust measurement model in social networks based on game theory. The trust degree is calculated from three aspects, service reliability, feedback effectiveness, recommendation credibility, to get more accurate result. In addition, in order to alleviate the free-riding problem, based on game theory, this paper proposes a punishment mechanism according to the specific trust degree and the global trust degree. The simulation results indicate the effectiveness of the proposed trust measurement model. And it can effectively solve the free-riding problem in social networks through the proposed punishment mechanism.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Al-Oufi, S., Kim, H.-N., El Saddik, A.: A group trust metric for identifying people of trust in online social networks. Expert Systems with Applications 39, 13173–13181 (2012)
He, Z., Cai, Z., Wang, X.: Modeling propagation dynamics and optimal countermeasures of the social network rumors. In: The 35th IEEE International Conference on Distributed Computing Systems, Columbus, Ohio, USA (2015)
Wang, Y., Yin, G., Cai, Z., Dong, Y., Dong, H.: A Trust-based Probabilistic Recommendation Model for Social Networks. Journal of Network and Computer Applications (2015)
Zheng, X., Cai, Z., Li, J., Gao, H.: An application-aware scheduling policy for real-time traffic. In: The 35th IEEE International Conference on Distributed Computing Systems, Columbus, Ohio, USA (2015)
Wang, Q., Wang, J., Jian, Y., Mei, Y., Zhang, Y.: Trust-aware query routing in P2P social networks. International Journal of Communication Systems 25, 1260–1280 (2012)
Zhang, L., Wang, X., Lu, J., Ren, M., Duan, Z., Cai, Z.: A Novel Contact Prediction Based Routing Scheme for DTNs. Transactions on Emerging Telecommunications Technologies (2014)
Zhang, L., Cai, Z., Lu, J., Wang, X.: Spacial Mobility Prediction Based Routing Scheme in Delay/Disruption-Tolerant Networks. Personal and Ubiquitous Computing (2015)
Feldman, M., Chuang, J.: Overcoming free-riding behavior in peer-to-peer systems. Newsletter ACM SIGecom Exchanges 5, 41–50 (2005)
Beth, T., Borcherding, M., Klein, B.: Valuation of trust in open networks. In: Gollmann, D. (ed.) ESORICS 1994. LNCS, vol. 875, pp. 1–18. Springer, Heidelberg (1994)
Xiong, L., Liu, L.: PeerTrust: supporting reputation-base trust in peer-to-peer communities. IEEE Transaction on Data and Knowledge Engineering 16, 843–857 (2004)
Kamvar, S., Schlosser, M.: EigenRep: reputation management in P2P networks. In: Proceedings of the 12th International World Wide Web Conference, New York, pp. 123–134 (2003)
Wang, Y., Lv, J.: FengXu, Trust Measurement and Evolution Model for Internetware. Journal of Software 17, 1–2 (2006)
Wang, Y., Vassileva, J.: Bayesian network-based trust model. In: Proc of the IEEE Computer Society WIC International Conference on Web Intelligence. IEEE Computer Society, Washington DC, pp. 372–378 (2003)
Wen, L., Feng, X., Lv, J.: An Approach of Software Reliability Evaluation in the Open Environment. Chinese Journal of Computers 33, 452–462 (2010)
Zhu, M., Jin, Z.: Approach for Evaluating the Trustworthiness of Service Agent. Journal of Software 22, 2593–2609 (2011)
Yu, Y.: Trust models for open grid network, Masters Thesis of SJTU (2009)
Tang, W., Chen, Z.: Research of Subjective Trust Management Model Based on the Fuzzy Set Theory. Journal of Software 14, 1401–1408 (2003)
Shi, Z., Liu, J., Wang, Z.: Dynamic P2P trust model based on time-window feedback mechanism. Journal on Communications 31, 120–129 (2010)
Gan, Z., Ding, Q., Li, K., Xiao, G., Algorithm, R.-B.M.-D.T.: Reputation-Based Multi-Dimensional Trust Algorithm. Journal of Software 22, 2401–2411 (2011)
Meng, X., Ding, Y., Gong, Y.: @Trust: A trust model based on feedback-arbitration in structured P2P network. Computer Communications 35, 2044–2053 (2012)
Bedi, P., Sharma, R.: Trust based recommender system using ant colony for trust computation. Expert Systems with Applications 39, 1183–1190 (2012)
Zhang, S., Chunxiang, X.: Study on the Trust Evaluation Approach Based on Cloud Model. Chinese Journal of Computers 36, 422–431 (2013)
Chen, J., Kiremire, A.R., Brust, M.R., Phoha, V.V.: Modeling online social network users’ profile attribute disclosure behavior from a game thoretic perspective. Computer Communications 49, 18–32 (2014)
Yin, G., Wang, Y., Dong, Y., Dong, H.: WrightCFisher multi-strategy trust evolution model with white noise for Internetware. Expert Systems with Applications 40, 7367–C7380 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Wang, Y., Cai, Z., Yin, G., Gao, Y., Pan, Q. (2015). A Trust Measurement in Social Networks Based on Game Theory. In: Thai, M., Nguyen, N., Shen, H. (eds) Computational Social Networks. CSoNet 2015. Lecture Notes in Computer Science(), vol 9197. Springer, Cham. https://doi.org/10.1007/978-3-319-21786-4_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-21786-4_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-21785-7
Online ISBN: 978-3-319-21786-4
eBook Packages: Computer ScienceComputer Science (R0)