Using Incentives to Analyze Social Web Services’ Behaviors
Conference paper
First Online:
Abstract
This paper discusses how incentives allow social networks to attract more members and reward those that are honest by retaining them. These members referred to as social Web services process users’ requests in return for a certain usage fee and also expose certain behaviors in return of the incentives they receive. The usage fee is linked to a performance level that the social Web service needs to maintain at run time. In the case of any discrepancy between the usage fee and performance level the social Web service is expected to compensate users. However the compensation might not always take place. Simulation results illustrate why honesty is rewarding for social Web services, which has a positive impact on both their performance and the performance of the networks to which they belong.
Keywords
Honesty Incentive Social network Social web serviceReferences
- 1.Al-Sharawneh, J., Williams, M.A.: A social network approach in semantic web services selection using follow the leader behavior. In: Proceedings of the 13th Enterprise Distributed Object Computing Conference Workshops (EDOCW 2009), Auckland, New Zealand (2009)Google Scholar
- 2.Bansal, S., Bansal, A., Blake, M.B.: Trust-based dynamic web service composition using social network analysis. In: Proceedings of the International Workshop on Business Applications for Social Network Analysis (BASNA 2010), Bangalore, India (2010)Google Scholar
- 3.Chen, W., Paik, I.: Improving efficiency of service discovery using linked data-based service publication. Inf. Syst. Front. 15(4), 613–625 (2013)CrossRefGoogle Scholar
- 4.Commerce, B.E., Jøsang, A., Ismail, R.: The beta reputation system. In: Proceedings of the 15th Bled Electronic Commerce Conference, Bled, Slovenia (2002)Google Scholar
- 5.Crowcroft, J., Gibbens, R.J., Kelly, F.P., Ötring, S.: Modelling Incentives for Collaboration in Mobile Ad-Hoc Networks. Performanc Evaluation 57(4), 427–439 (2004)CrossRefGoogle Scholar
- 6.Di Martino, B.: Semantic web services discovery based on structural ontology matching. Int. J. Web Grid Serv. 5(1), 46–65 (2009)CrossRefGoogle Scholar
- 7.Domingo, M.C.: Managing healthcare through social networks. Computer 43(7), 20–25 (2010)CrossRefGoogle Scholar
- 8.Jøsang, A., Ismail, R.: A survey of trust and reputation systems for online service provision. Decis. Support Syst. 43(2), 618–644 (2007)CrossRefGoogle Scholar
- 9.Maamar, Z., Faci, N., Kouadri Mostéfaoui, S., Akhter, F.: Towards a framework for weaving social networks into mobile commerce. Int. J. Syst. Serv.-Oriented Eng. 2(3), 32–46 (2011)CrossRefGoogle Scholar
- 10.Maamar, Z., Faci, N., Krug Wives, L., Yahyaoui, H., Hacid, H.: Towards a method for engineering social web services. In: Ralyté, J., Mirbel, I., Deneckère, R. (eds.) ME 2011. IFIP AICT, vol. 351, pp. 153–167. Springer, Heidelberg (2011) CrossRefGoogle Scholar
- 11.Maamar, Z., Faci, N., Sheng, Q.Z., Yao, L.: Towards a user-centric social approach to web services composition, execution, and monitoring. In: Wang, X.S., Cruz, I., Delis, A., Huang, G. (eds.) WISE 2012. LNCS, vol. 7651, pp. 72–86. Springer, Heidelberg (2012) CrossRefGoogle Scholar
- 12.Maamar, Z., Hacid, H., Huhns, M.N.: Why web services need social networks. IEEE Internet Comput. 15(2), 90–94 (2011)CrossRefGoogle Scholar
- 13.Maamar, Z., Krug Wives, L., Badr, Y., Elnaffar, S., Boukadi, K., Faci, N.: LinkedWS: a novel web services discovery model based on the metaphor of “social networks”. Simulation Modelling Practice and Theory, vol. 19(10). Elsevier Science Publisher (2011)Google Scholar
- 14.Maamar, Z., Faci, N., Boukadi, K., sheng, Q.Z.: Commitments to regulate social web services operation. IEEE Trans. Serv. Comput. 7(2), 154–167 (2014)CrossRefGoogle Scholar
- 15.Maaradji, A., Hacid, H., Daigremont, J., Crespi, N.: Towards a social network based approach for services composition. In: Proceedings of the 2010 IEEE International Conference on Communications (ICC 2010), Cap Town, South Africa (2010)Google Scholar
- 16.Nam Ko, M., Cheek, G.P., Shehab, M., Sandhu, R.: Social-Networks Connect Services. IEEE Comput. 43(8), 37–43 (2010)CrossRefGoogle Scholar
- 17.Obreiter, P., Nimis, J.: A taxonomy of incentive patterns - the design space of incentives for cooperation. In: Proceedings of Second International Workshop on Agents and Peer-to-Peer Computing (AP2PC 2003), Melbourne, Australia (2003)Google Scholar
- 18.Shoham, Y., Tanaka, K.: A dynamic theory of incentives in multi-agent systems. In: Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence (IJCAI 1997), Nagoya, Japan (1997)Google Scholar
- 19.Wu, Q., Iyengar, A., Subramanian, R., Rouvellou, I., Silva-Lepe, I., Mikalsen, T.: Combining quality of service and social information for ranking services. In: Baresi, L., Chi, C.-H., Suzuki, J. (eds.) ICSOC-ServiceWave 2009. LNCS, vol. 5900, pp. 561–575. Springer, Heidelberg (2009) CrossRefGoogle Scholar
- 20.Xiao, X., Zhang, Q., Shi, Y., Gao, Y.: How much to share: a repeated game model for peer-to-peer streaming under service differentiation incentives. IEEE Trans. Parallel Distrib. Syst. 23(2), 288–295 (2012)CrossRefGoogle Scholar
- 21.Xie, X., Du, B., Zhang, Z.: Semantic service composition based on social network. In: Proceedings of the 17th International World Wide Web Conference (WWW 2008), Beijing, China (2008)Google Scholar
- 22.Yahyaoui, H., Maamar, Z., Lim, E., Thiran, P.: Towards a community-based, social network-driven framework for web services management. Future Gener. Comput. Syst. 29(6), 1363–1377 (2013)CrossRefGoogle Scholar
Copyright information
© Springer International Publishing Switzerland 2015