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Method and system for document citation network visualization and document recommendation

A technology for citing and recommending methods, applied in network data indexing, network data retrieval, special data processing applications, etc., can solve the problems of not reaching scientific researchers at a glance, not taking into account the value of citation behaviors, and not displaying ranking models. , to ensure the accuracy and recall rate, and avoid the effect of cold start

Active Publication Date: 2018-10-12
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, the patent did not take into account the transfer value of the citation itself to the references, and did not display the results of the ranking model in a visualized manner, failing to achieve the goal of making it clear to researchers

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  • Method and system for document citation network visualization and document recommendation
  • Method and system for document citation network visualization and document recommendation
  • Method and system for document citation network visualization and document recommendation

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Embodiment Construction

[0019] Below in conjunction with accompanying drawing, the present invention will be further described:

[0020] as attached figure 1 The flow chart of the document sorting module is shown:

[0021] A1-A3: Data collection and processing stage. After the user enters keywords, relevant documents are crawled from the literature website, relevant information is obtained and the full text is downloaded and stored in the database, and incomplete data with missing information are screened and processed.

[0022] A4: The word segmentation processing stage for the abstract and keywords of the document: use the vector space model, and use the text similarity algorithm to calculate the cosine similarity between the query document and the candidate similar document. The text similarity algorithm first divides the text into words, calculates the word frequency, and then Combined with cosine similarity to calculate the similarity between documents. Including word segmentation unit, part-o...

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Abstract

The invention discloses a document citation network visualization and document recommendation method and system, and relates to the fields of document influence analysis and information visualization. The method comprises the following steps of calculating the importance degree of documents according to authors, time information, citation numbers and other inherent attributes, document similarities and transfer values generated by introducing behavior quantitative analysis, and sorting the documents; then performing clustering on the sorted documents and performing visualization on the clustered result to establish a dual-layer network model, and displaying important documents in a clear manner; and finally, recommending the documents in the center of clustering displayed in the visualization manner to a user. The document citation network visualization and document recommendation method and system are high in usability and can help science researchers to rapidly screen out most authoritative papers.

Description

technical field [0001] The invention belongs to the field of document influence analysis and information visualization, and specifically relates to a document citation network visualization and document recommendation method and system. Background technique [0002] In the past decade, since Garfield founded the Science Citation Index (SCI) in the 1960s, the research activities of citation analysis for scientific journals, scientific workers and scientific research work have become increasingly active. As the number of citation statistics increases and the time span of data becomes longer and longer, traditional manual methods are far from meeting the needs of high-level analysis. The continuous development of computer and network technology provides conditions for citation analysis, and computer citation analysis has become a new direction of citation analysis. Computer citation analysis has promoted the development of bibliometric analysis research to an advanced stage. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/951
Inventor 陈昕吴渝李红波范张群
Owner CHONGQING UNIV OF POSTS & TELECOMM
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