Qing Yang, Ph.D, is a RightNow Technologies Assistant Professor in the Department of Computer Science at Montana State University. He received B.S. and M.S. degrees in Computer Science from Nankai University and Harbin Institute of Technology, China, in 2003 and 2005, respectively. He received his Ph.D degree in Computer Science from Auburn University in 2011. His research interests include Online Social Network, Trust Management, Vehicular Network, and Wireless Sensor Networks (WSNs). He has published papers in prestigious journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Network Magazine and IEEE Communications Magazine, in prestigious conferences such as IEEE INFOCOM, CNS and SECON.
Trust Assessment in Online Social Networks
Assessing trust in online social networks (OSNs) is critical for many social network applications such as online marketing but challenging due to the difficulties of handling complex OSNs topology, in existing models such as subjective logic, and the lack of effective validation methods. To address these challenges, we for the first time properly define trust propagation and combination in arbitrary OSN topologies by proposing 3VSL (Three-Valued Subjective Logic). The 3VSL distinguishes the posteriori and priori uncertainties existing in trust, and the difference between distorting and original opinions, thus be able to compute multi-hop trusts in arbitrary graphs. We theoretically proved the capability based on the Dirichlet distribution. Furthermore, an online survey system is implemented to collect interpersonal trust data and validate the correctness and accuracy of 3VSL in real world. Both experimental and numerical results show that 3VSL is accurate in computing interpersonal trust in OSNs.