Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Online Social Networks (OSNs) are becoming a popular method of meeting people and keeping in touch with friends. OSNs resort to trust evaluation models and algorithms to improve service quality and enhance user experiences. Much research has been done to evaluate trust and predict the trustworthiness of a target, usually from the view of a source. Graph-based approaches make up a major portion of the existing works, in which the trust value is calculated through a trusted graph (or trusted network, b of trust, or multiple trust chains). In this article,  focus on graph-based trust evaluation models in OSNs, particularly in the computer science literature.  first summarize the features of OSNs and the properties of trust. Then  comparatively review two categories of graph-simplification-based and graph-analogy-based approaches and discuss their individual problems and challenges.  also analyze the common challenges of all graph-based models. To provide an integrated view of trust evaluation,  conduct a brief review of its pre- and postprocesses (i.e., the preparation and validation of trust models, including information collection, performance evaluation, and related applications). Finally,  identify some open challenges that all trust models are facing.
['Wenjun Jiang', 'Guojun Wang', 'Zakirul Alam Bhuiyan', 'Jie Wu']
I am writing a research paper on a idea Understanding Graph-Based Trust Evaluation in Online Social Networks: Methodologies and Challenges
[{"from": "human", "value": "I am writing a research paper on a idea Understanding Graph-Based Trust Evaluation in Online Social Networks: Methodologies and Challenges"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Online Social Networks (OSNs) are becoming a popular method of meeting people and keeping in touch with friends. OSNs resort to trust evaluation models and algorithms to improve service quality and enhance user experiences. Much research has been done to evaluate trust and predict the trustworthiness of a target, usually from the view of a source. Graph-based approaches make up a major portion of the existing works, in which the trust value is calculated through a trusted graph (or trusted network, b of trust, or multiple trust chains). In this article,  focus on graph-based trust evaluation models in OSNs, particularly in the computer science literature.  first summarize the features of OSNs and the properties of trust. Then  comparatively review two categories of graph-simplification-based and graph-analogy-based approaches and discuss their individual problems and challenges.  also analyze the common challenges of all graph-based models. To provide an integrated view of trust evaluation,  conduct a brief review of its pre- and postprocesses (i.e., the preparation and validation of trust models, including information collection, performance evaluation, and related applications). Finally,  identify some open challenges that all trust models are facing."}]