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A Field Expert Selection Method Based on Citation Network and Research Cooperation Network

A network and expert technology, applied in big data document retrieval, based on citation network and scientific research cooperation network, can solve problems such as lack of objective criteria for research fields and failure to reflect the relevance of knowledge inheritance research topics.

Active Publication Date: 2021-02-09
北京市科学技术情报研究所
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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

Method used

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  • A Field Expert Selection Method Based on Citation Network and Research Cooperation Network
  • A Field Expert Selection Method Based on Citation Network and Research Cooperation Network
  • A Field Expert Selection Method Based on Citation Network and Research Cooperation Network

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Experimental program
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Embodiment

[0076] like figure 1 As shown, in this embodiment, the following steps are specifically included:

[0077] A. Based on the metadata information of the database, construct a scholar cooperation directed network model and generate a scholar cooperation network, wherein the scholar cooperation network is a directed network;

[0078] In this embodiment, the scholar cooperation network described in step A is: G collaorati on =(V,E collaborat ion ), G collaorati on =(V,E collaborat ion ) by |V|=N scholar nodes and |E collaboration |=M collaboration A directed network composed of edges, where G collboration Represents the collection of scholars and scholar cooperative relations in the scholar cooperation network, V represents the scholar group G collboration Scholars collection in E collaboration Representative group of scholars G collaboration Collaborative relationship among middle school students; represented by scholars v i For the Collaborating Center, Scholars v i ...

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Abstract

The invention discloses a method for selecting field experts based on a citation network and a scientific research cooperation network. The method includes the following steps: firstly, based on the metadata information of the database, a scholar cooperation directed network model is constructed to generate a scholar cooperation network; secondly, based on the document citation information, a document citation model is constructed, self-citation interference is removed, and a scholar citation network is generated by linear mapping; and then , the scholar cooperation network and the scholar citation network are fused to generate a scholar relationship network; finally, the important nodes in the scholar relationship network are calculated and the community structure is divided, and the result is used as a list of selected experts. Based on scholars' academic activities and academic achievements, the present invention comprehensively considers the two criteria of academic ability evaluation and cooperation network quality evaluation, not only can quickly and accurately recommend corresponding experts, but also can identify experts' areas of expertise, and solve the problem of expert professional matching in existing selection methods. Accurate questions; intuitively reflect the importance of senior scholars in scientific research, and the selection of experts is 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06F16/36
CPCG06F16/35G06F16/367
Inventor 吴晨生刘静李梦辉赵芳董晓晴
Owner 北京市科学技术情报研究所
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