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With the rapid popularization of social applications, various kinds of social media have developed into an important platform for publishing information and expressing opinion. Detecting hidden topics from the huge amount of user-generated contents is of great commerce value and social significance. However traditional text analysis approaches only focus on the statistical correlation between words,...
Complex social issues can be better addressed collaboratively by stakeholders through democratic decision-making. A key prerequisite for engaging the public is the ability to gather what we know about a public issue and present such knowledge in a concise fashion. This is commonly done through a citizen's panel who performs collaborative information seeking and analysis. The outcome of such process...
Large-scale traffic and transportation logistics analysis requires a realistic depiction of network traffic condition in a dynamic manner. In the past decades, vehicular traffic simulation approaches have been increasingly developed and applied to describe time-varying traffic dynamics. Most of the existing approaches are so-called microscopic simulation in which complex driving behaviors such as...
As an internet application, Group-buying is a new darling of E-commerce. To the consensus of many, the integration of social networking and e-commerce will contribute significantly to the reliability of online transactions, and improve customers' satisfaction as well. This paper presents Group-buying Trust — a coherent adaptive trust model for quantifying and comparing the trustworthiness of group-buying...
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