网络大数据计算技术与应用综述

网络大数据蕴含着丰富的社会信息，可以看作是对真实社会的网络映射。分析网络大数据并发现其中所暗含的线索与规律，可以帮助人们更好地感知现在、预测未来。本文简要介绍了国内外有关网络大数据的战略布局，总结了网络大数据计算技术研究面临的挑战，并从网络大数据计算的架构体系以及网络大数据的感知与表示、内容建模与语义理解等方面分析了研究现状。最后，通过实例对网络大数据将带来的新型应用进行了展望。

A Survey：Computing Technology of Network Big Data and Its Applications

Due to the extensive involvement of users into various network applications, network big data contains rich social information and can consequently be viewed as a network mapping of the actual society. Analyzing network big data to find the implicit clues and laws can help us more accurately perceive present and forecast future. This paper briefly reviews the network big data related strategic initiatives all over the world, summarizes the grand challenges confronted by the computing technology study of network big data, and analyzes the research status from different aspects including the architecture of big data computing, the awareness, representation, content modeling, and semantic understanding of network big data, etc. Finally, we look forward to the innovative applications of network big data based on realistic examples.