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A platform for identifying experts and paper retrieval in citation networks

Efficient organization and analysis of academic information has many advantages. Most scholar retrieval systems appeared these years can perform keyword-based paper search. However, performing large-scale expert and paper retrieval is an intractable problem. Here we present a platform that can not only reduce the workload of researchers when searching academic literature, but also promote academic communication. In this paper, we introduced a novel community partition algorithm specific to deal with large-scale citation network, the Large-scale Citation Network Partition Algorithm (LCNPA). We demonstrate the construction of the platform, and illustrate the implemented functions and instructions.