Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Tutorial on agent-based modeling and simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
Digital Relationships in the "MySpace" Generation: Results From a Qualitative Study
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Consumer Phase Shift Simulation Based on Social Psychology and Complex Networks
SERVICES '08 Proceedings of the 2008 IEEE Congress on Services - Part I
Encouragement Methods for Small Social Network Services
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Agents of Diffusion - Insights from a Survey of Facebook Users
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
On the evolution of user interaction in Facebook
Proceedings of the 2nd ACM workshop on Online social networks
A Study of Information Diffusion over a Realistic Social Network Model
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
Incentives and rewarding in social computing
Communications of the ACM
Social-awareness in opportunistic networking
International Journal of Intelligent Systems Technologies and Applications
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We have developed an incentive-rewarding mechanism that stimulates activities in social networking services (SNSs), including content uploading and link establishment. We particularly focus on changing the reward assignment ratio based on the different risks users perceive when uploading content with different privacy settings: public-open and friend-limited. Learning-based simulation allowed us to observe that SNS activity, which we measured as the amount of browsed content within a certain period, can be controlled by a rewarding assignment ratio. We then analyzed how the amount of uploaded content and the increase of established links affect SNS activity. Results suggested that the optimal reward assignment ratio to maximize SNS activity changes depending on the total amount of available reward resources. Copyright © 2011 John Wiley & Sons, Ltd.