研究室成果“A Trust Model for Multimedia Social Networks”发表在《Social Networks Analysis and Mining》(Springer)。In the emerging multimedia social networks environment, the trust relationship among users has a direct impact on the sharing and transmission mode of digital contents. To effectively assess direct or recommended trust between users, this paper proposed a Multimedia Social Networks Trust Model (MSNTM) based on small world theory. By introducing some share character factors such as credible feedback of digital contents, feedback weighting factor and user share similarity, this model proposed a direct trust calculation window mechanism, recommended path finding algorithm, and multiple recommendation trust synthetic strategy. The simulation experiment showed that the model can dynamically update the trust value between users in real-time, effectively measure the trust relationship, correctly identify malicious sharing users, and recommended trust synthesis mechanism can be adapted to trust evaluation of different types of risk scenarios.引用格式: Zhang Zhiyong, Wang Kanliang. A Trust Model for Multimedia Social Networks [J]. Social Networks Analysis and Mining (Springer), 2013, 3(4):969-979. DOI: 10.1007/s13278-012-0078-4.(2012-06-28图文)