Abstract:
It is very important for crowdsourcing system to analyze crowdsourcing workers’ collaborative behaviors. In this paper, the evolutionary process of crowdsourcing quality was studied based on classic hierarchically-organized mode. By establishing an evolutionary game model for crowdsourcing task collaboration among different virtual organizations, the evolutionary stability of crowdsourcing systems was analyzed and the dynamics of crowdsourcing workers’ behaviors were discussed macroscopically. The key factors affecting the evolution of crowdsourcing system, including the economic benefits, consumer utilities from completing crowdsourcing tasks and risks from insecure participating, were suggested and how the factors work was presented. All these results together provide the theory basis for designing quality control methods of crowdsourcing system.
FENG J H, LI G L, FENG J H.Asurvey on crowdsourcing[J]. Chinese Journal of Computer, 2015, 38(9): 1713-1725. (in Chinese)
[2]
HOWE J.The rise of crowdsourcing[J]. Wired Magazine, 2006, 14(6): 1-4.
[3]
MASON W A, WATTS D J.Financial incentives and the “performance of crowds”[J]. ACM SIGKDD Explorations Newsletter, 2009, 11(2): 100-108.
[4]
CARSTEN E, ARJEN P V.Increasing cheat robustness of crowdsourcing tasks[J]. Information Retrieval, 2013 (2): 49-57.
[5]
FANYSUN HLZHU YMet al.A truthful online auction for tempo-spatial crowdsourcing tasksThe IEEE Symposium on Service-Oriented System Engineering. Washington, DC: IEEE Computer Society2015332338
FAN Y, SUN H L, ZHU Y M, et al.A truthful online auction for tempo-spatial crowdsourcing tasks[C]//The IEEE Symposium on Service-Oriented System Engineering. Washington, DC: IEEE Computer Society, 2015: 332-338.
[6]
XU A F, FENG X N, TIAN Y.Revealing, characterizing, and detecting crowdsourcing spammers: a case study in community Q&A[C]//The 34th IEEE Conference on Computer Communications. Amsterdam: Computer Communications, 2015: 2533-2541.
[7]
ZHANG Z Q, PANG J S, XIE X Q, et al.Research on crowdsourcing quality control strategies and evaluation algorithm[J]. Chinese Journal of Computer, 2013, 36(8): 1636-1649. (in Chinese)
[8]
HE Y H, SUN L M, YANG W D, et al.Enhancing privacy preserving for crowdsourced monitoring—a game theoretic analysis based approach[J]. Journal of Electronics & Information Technology, 2016, 38(2): 340-346. (in Chinese)
[9]
YANG D J, XUE G L, FANG X, et al.Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing[C]//The 18th Annual International Conference on Mobile Computing and Networking. New York: ACM, 2012: 173-184.
[10]
SUN J, MA H.A behavior-based incentive mechanism for crowd sensing with budget constraints[C]//The IEEE International Conference on Communications. Washington, DC: IEEE Computer Society, 2014: 1314-1319.
[11]
LIJZHU YMHUA YQet al.Crowdsourcing sensing to smartphones: a randomized auction approachThe IEEE International Symposium on Quality of Service. Washington, DC: IEEE Computer Society2015219224
LI J, ZHU Y M, HUA Y Q, et al.Crowdsourcing sensing to smartphones: a randomized auction approach[C]//The IEEE International Symposium on Quality of Service. Washington, DC: IEEE Computer Society, 2015: 219-224.
[12]
RANGANATHANKRIPEANUMSARINAet al.Incentive mechanisms for large collaborative resource sharingThe 4th IEEE/ACM International Symposium on Cluster Computing and the Grid. Washington, DC: IEEE Computer Society200418
RANGANATHAN K, RIPEANU M, SARIN A, et al.Incentive mechanisms for large collaborative resource sharing[C]//The 4th IEEE/ACM International Symposium on Cluster Computing and the Grid. Washington, DC: IEEE Computer Society, 2004: 1-8.
[13]
DASILVA L A, SRIVASTAVA V.Node participation in adhoc and peer-to-peer networks: a game-theoretic formulation[C]//The First Workshop on Games and Emergent Behaviors in Distributed Computing Environments With PPSN. New York: Springer, 2004: 1-8.
[14]
CHEN F, ZHAN S B, SHI G J, et al.Crowdsourcing leakage of personally identifiable information via Sina microblog[C]The First International Conference on Internet of Vehicles. New York: Springer International Publishing, 2014: 262-271.
[15]
SHEN Y, HUANG L S, LI L, et al.Towards preserving worker location privacy in spatial crowdsourcing[C]//The IEEE Global Communications Conference. Washington, DC: IEEE Computer Society, 2015: 1-6.
[16]
GONG Y M, WEI L B, GUO Y X, et al.Optimal task recommendation for mobile crowdsourcing with privacy control[J]. IEEE Internet of Things Journal, 2016, 5(3): 745-756.
[17]
ZHU B, ZHU S, LIU X J, et al.A novel location privacy preserving scheme for spatial crowdsourcing[C]//The 6th IEEE International Conference on Electronics Information and Emergency Communication. Washington, DC: IEEE Computer Society, 2016: 34-37.
[18]
KOCHHAR S, MAZZOCCHI S, PARITOSH P.The anatomy of a large-scale human computation engine[C]//The ACM SIGKDD Workshop on Human Computation. New York: ACM, 2010: 10-17.
[19]
SMITH J M.Evolution and the theory of games: Ⅲ [M]. Cambridge: Cambridge University Press, 1982.
[20]
FRIEDMAN D.Evolutionary games in economics[J]. Econometrica, 1991, 59(3): 637-666.
下载: 导出CSV
下载:
点击查看大图
京公网安备 11010502036328号 京ICP备17033152号