Field expert selection method based on citation network and scientific research cooperation network

Abstract

The invention discloses a field expert selection method based on a citation network and a scientific research cooperation network. The method comprises the following steps: firstly, based on metadatainformation of a database, constructing a scholar-cooperation directed network model, and generating a scholar-cooperation network; secondly, constructing a literature citation model based on the literature citation information, deleting self-citation interference, and performing linear mapping to generate a scholar citation network; then, fusing the scholar-cooperation network and the scholar citation network to generate a scholar relationship network; and finally, calculating important nodes in the scholar relationship network, dividing a community structure, and taking a result as a selection expert list. According to the method, two standards of academic ability evaluation and cooperative network quality evaluation are comprehensively considered according to academic activities and academic achievements of scholars, so that corresponding experts can be quickly and accurately recommended, the skilled fields of the experts can be identified, and the problem of inaccurate expert professional matching in an existing selection method is solved; and the importance of the deep schools in scientific research work is visually reflected, and the selected experts are more reasonable.

Description

technical field [0001] The invention belongs to the technical field of big data document retrieval, and in particular relates to a method for selecting experts in a field based on a citation network and a scientific research cooperation network. Background technique [0002] With the popularization of computing technology and the rapid development of network informatization, the selection of scientific and technological experts has developed from a manual method to a network intelligent model. The network intelligent expert selection mode fundamentally solves the problems of low efficiency, lack of scientificity and fairness of the traditional selection method, breaks the geographical restrictions of experts in the traditional selection method, and expands the expert team. The core is the expert selection algorithm. At present, the expert selection methods are mainly divided into two types based on text analysis and network structure. [0003] Based on text analysis of rese...

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Problems solved by technology

However, only considering the cooperative relationship is easily affected by subjective factors, and lacks objective standards for the research field; moreover, the cooperative relationship between scholars cannot reflect the inheritance of knowledge itself and the implicit correlation between research topics

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