Experiments in Building Experiential Trust in a Society of Objective-Trust Based Agents
Proceedings of the workshop on Deception, Fraud, and Trust in Agent Societies held during the Autonomous Agents Conference: Trust in Cyber-societies, Integrating the Human and Artificial Perspectives
The link prediction problem for social networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Spreading Activation Models for Trust Propagation
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Proceedings of the 10th international conference on Intelligent user interfaces
Computing with Social Trust
Network Exchange in Trust Networks
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Link Prediction Across Multiple Social Networks
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
Exploration of Robust Features of Trust Across Multiple Social Networks
SASOW '11 Proceedings of the 2011 Fifth IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops
The Ones that Got Away: False Negative Estimation Based Approaches for Gold Farmer Detection
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
User Behavior Modelling Approach for Churn Prediction in Online Games
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
Automatic Detection of Compromised Accounts in MMORPGs
SOCIALINFORMATICS '12 Proceedings of the 2012 International Conference on Social Informatics
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Social interactions preceding and succeeding trust formation can be significant indicators of formation of trust in online social networks. In this research we analyze the social interaction trends that lead and follow formation of trust in these networks. This enables us to hypothesize novel theories responsible for explaining formation of trust in online social settings and provide key insights. We find that a certain level of socialization threshold needs to be met in order for trust to develop between two individuals. This threshold differs across persons and across networks. Once the trust relation has developed between a pair of characters connected by some social relation (also referred to as a character dyad), trust can be maintained with a lower rate of socialization. Our first set of experiments is the relationship prediction problem. We predict the emergence of a social relationship like grouping, mentoring and trading between two individuals over a period of time by looking at the past characteristics of the network. We find that features related to trust have very little impact on this prediction. In the final set of experiments, we predict the formation of trust between individuals by looking at the topographical and semantic social interaction features between them. We generate three semantic dimensions for this task which can be recomputed with an observed social variable (say grouping) to create a new semantic social variable. In this endeavor, we successfully show that, including features related to socialization, gives us an approximate increase of 4--9% accuracy for trust relationship predictions.