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The continued exponential growth in volume of literature data is giving birth to a new challenge to the bibliographic analysis service and the traditional features such as keyword search, author search and statistics services could not satisfy researchers for in-depth analysis. The emerging of community analysis in
The cloud computing paradigm has been receiving much attention recently, and data management applications such as e-business are potential candidates for deployment in the cloud. In this paper, we introduce CloudCDI, which is a platform for collaborative integration and management of community information in the cloud. We present the architecture for CloudCDI, which is based on cloud computing framework...
is discovered and progressively refined along both the contents-based and communal dimensions. Qualitative and quantitative experimental results show that our method can identify fine-grained specialisation of subfields and characterise them with key attributes (keywords, key papers and key authors), providing insights
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