Abstract
Stimulating is an important mechanism in Virtual Community (VC) during the Knowledge Sharing (KS) process. In this paper, we combine the power of game theory and stimulating mechanism together to optimize the KS process in Social Network (SN). We first model the basic stimulating mechanism as a static game of complete information, under which the stimulating threshold for Nash Equilibrium (NE) is derived. Next, we modify the static model by introducing the KREPS-MILGROM-ROBERTS-WILSON (KMRW) reputation model, where the dynamic case is studied and the Perfect Bayesian Equilibrium is proved. We then propose a novel rational stimulating mechanism by combining the finitely repeated game with basic stimulating mechanism together. Theoretical analyzing indicates that, by introducing incomplete information, the rational stimulating achieves a lower cost; through stimulating, the Perfect Bayesian Equilibrium’s condition is satisfied and the KS rate will approach 100% as long as the KS process is repeated enough. Finally, we extend our rational stimulating mechanism to the multi-person model.
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References
Churchill, E.F., Halverson, C.A.: Social Networks and Social Networking. IEEE Intelligent Systems 9(5), 14–19 (2005)
Carrol, J.M., et al.: Notification and awareness: synchronizing task-oriented collaborative activity. International Journal of Human-Computer Studies 58(5), 605–632 (2003)
Diamadis, E.T., Polyzos, G.C.: Efficient cooperative searching on the Web: system design and evaluation. International Journal of Human-Computer Studies 61(5), 699–724 (2004)
Fischer, G., et al.: Beyond binary choices: Integrating individual and social creativity. International Journal of Human-Computer Studies 63(4-5), 482–512 (2005)
Li, X., Montazemi, A.R., Yuan, Y.: Agent-based buddy-finding methodology for knowledge sharing. Information and Management 43(3), 283–296 (2006)
Nonaka, I., Takeuchi, H.: The Knowledge-creating Company: How Japanese Companies create the Dynamics of Innovation. Oxford University Press (1985)
Murphy, C., et al.: GenSpace: Exploring social networking metaphors for knowledge sharing and scientific collaborative work. In: 23rd IEEE/ACM International Conference on Automated Software Engineering, pp. 34–41 (2008)
Hsu, M.S., et al.: Mutual choices of knowledge sharing in social networks. In: IEEE International Engineering Management Conference, vol. 2, pp. 471–1475 (2004)
Yang, J., Chen, Y.: A social network-based system for supporting interactive collaboration in knowledge sharing over peer-to-peer network. International Journal of Human-Computer Studies 66(1), 36–50 (2008)
Chow, W., Chan, L.: Social network, social trust and shared goals in organizational knowledge sharing. Information & Management 45(7), 458–465 (2008)
Fudemberg, D., Tirole, D.: Game Theory. M.I.T. Press (1991)
Gibbons, R.: A Primer in Game Theory. Prentice-Hall (1992)
Kreps, D., Milgrom, P., Roberts, J., Wilson, R.: Rational Cooperation in the Finitely Repeted Prisoners’ Dilemma. Journal of Economic Theory 27(2), 245–252 (1982)
Lin, W.S., Zhao, H.V., Liu, K.: Cooperation Stimulation Strategies for Peer-to-Peer Wireless Live Video-Sharing Social Networks. IEEE Transactions on Image Processing 19(7), 1768–1784 (2010)
Rheingold, H.: The virtual community: homesteading on the electronic frontier. The MIT Press (2000)
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Zhu, P., Wei, G., Vasilakos, A.V., Wei, HY. (2012). Knowledge Sharing in Social Network Using Game Theory. In: Suzuki, J., Nakano, T. (eds) Bio-Inspired Models of Network, Information, and Computing Systems. BIONETICS 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32615-8_53
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DOI: https://doi.org/10.1007/978-3-642-32615-8_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32614-1
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